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Ennio GAMBI

Pubblicazioni

Ennio GAMBI

 

262 pubblicazioni classificate nel seguente modo:

Nr. doc. Classificazioni
167 4 Contributo in Atti di Convegno (Proceeding)
64 1 Contributo su Rivista
19 2 Contributo in Volume
11 5 Altro
1 3 Libro
Anno Risorsa
2021 Performance evaluation of vibrational measurements through mmwave automotive radars
REMOTE SENSING
Autore/i: Ciattaglia, G.; De Santis, A.; Disha, D.; Spinsante, S.; Castellini, P.; Gambi, E.
Classificazione: 1 Contributo su Rivista
Abstract: Thanks to the availability of a significant amount of inexpensive commercial Frequency Modulated Continuous Wave Radar sensors, designed primarily for the automotive domain, it is interesting to understand if they can be used in alternative applications. It is well known that with a radar system it is possible to identify the micro-Doppler feature of a target, to detect the nature of the target itself (what the target is) or how it is vibrating. In fact, thanks to their high transmission frequency, large bandwidth and very short chirp signals, radars designed for automotive applications are able to provide sub-millimeter resolution and a large detection bandwidth, to the point that it is here proposed to exploit them in the vibrational analysis of a target. The aim is to evaluate what information on the vibrations can be extracted, and what are the performance obtainable. In the present work, the use of a commercial Frequency Modulated Continuous Wave radar is described, and the performances achieved in terms of displacement and vibration frequency measurement of the target are compared with the measurement results obtained through a laser vibrometer, considered as the reference instrument. The attained experimental results show that the radar under test and the reference laser vibrometer achieve comparable outcomes, even in a cluttered scenario.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/287204 Collegamento a IRIS

2020 People Walking Classification using Automotive Radar
ELECTRONICS
Autore/i: Senigagliesi, Linda; Ciattaglia, Gianluca; De Santis, Adelmo; Gambi, Ennio
Classificazione: 1 Contributo su Rivista
Abstract: Automotive radars are able to guarantee high performances at the expenses of a relatively low cost, and recently their application has been extended to several fields in addition to the original one. In this paper we consider the use of this kind of radars to discriminate different types of people’s movements in a real context. To this end, we exploit two different maps obtained from radar, that is, a spectrogram and a range-Doppler map. Through the application of dimensionality reduction methods, such as principal component analysis (PCA) and t-distributed stochastic neighbor embedding (t-SNE) algorithm, and the use of machine learning techniques we prove that is possible to classify with a very good precision people’s way of walking even employing commercial devices specifically designed for other purposes.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/282725 Collegamento a IRIS

2020 Performance Evaluation of Vibrational Measurements Through mmWave Radars
Proc. of 2020 IEEE INTERNATIONAL WORKSHOP ON METROLOGY FOR AEROSPACE
Autore/i: Ciattaglia, Gianluca; De Santis, Adelmo; Disha, Deivis; Spinsante, Susanna; Castellini, Paolo; Gambi, Ennio
Editore: IEEE
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Thanks to the availability of a significant amount of inexpensive commercial Frequency Modulated Continuous Wave Radar sensors, designed primarily for the automotive domain, it is interesting to understand if they can be used in alternative applications. Radars designed for automotive applications, in fact, thanks to their high transmission frequency, large bandwidth and very short chirp signals, are able to provide sub-millimeter resolution and a large detection bandwidth, to the point that it is here proposed to implement a vibrational analysis of a target and evaluate what information on the vibrations can be extracted, and the performance obtainable. In the present work the use of a commercial Frequency Modulated Continuous Wave radar is described, and the performances achieved in terms of target's displacement and frequency measurement are compared with the measurement results obtained through a laser vibrometer, considered as the reference instrument.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/283501 Collegamento a IRIS

2020 Food Intake Actions Detection: An Improved Algorithm Toward Real-Time Analysis
JOURNAL OF IMAGING
Autore/i: Gambi, E; Ricciuti, M; De Santis, A
Classificazione: 1 Contributo su Rivista
Abstract: With the increase in life expectancy, one of the most important topic for scientific research, especially for the elderly, is good nutrition. In particular, with an advanced age and health issues because disorders such as Alzheimer and dementia, monitoring the subjects' dietary habits to avoid excessive or poor nutrition is a critical role. Starting from an application aiming to monitor the food intake actions of people during a meal, already shown in a previously published paper, the present work describes some improvements that are able to make the application work in real time. The considered solution exploits the Kinect v1 device that can be installed on the ceiling, in a top-down view in an effort to preserve privacy of the subjects. The food intake actions are estimated from the analysis of depth frames. The innovations introduced in this document are related to the automatic identification of the initial and final frame for the detection of food intake actions, and to the strong revision of the procedure to identify food intake actions with respect to the original work, in order to optimize the performance of the algorithm. Evaluation of the computational effort and system performance compared to the previous version of the application has demonstrated a possible real-time applicability of the solution presented in this document.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/282726 Collegamento a IRIS

2020 Contactless Heart Rate Measurements using RGB-camera and Radar
Proceedings of the 6th International Conference on Information and Communication Technologies for Ageing Well and e-Health
Autore/i: Senigagliesi, Linda; Gambi, Ennio; De Santis, Adelmo; Ciattaglia, Gianluca; Ricciuti, Manola
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: The detection of vital parameters with traditional approaches, as the electrocardiograph, requires to appropriately place electrodes in direct contact with patients’ skin, often causing irritation. On the other hand, contactless measurement of physiological parameters provides an unobtrusive and comfortable instrument for subjects’ conditions monitoring, with application to home monitoring of aging people and in particular to those suffering of heart disease. In this paper two contactless techniques are proposed, based on radar technology and on video processing from an RGB camera. In order to validate their precision, the proposed methods are compared with three wearable low cost devices, taken as a reference for the outcomes. The developed approaches prove to achieve excellent performances, with an estimated mean relative error of 0.55% with respect to a commercial cardiac strap device.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/282727 Collegamento a IRIS

2020 ADL recognition through machine learning algorithms on IoT air quality sensor dataset
IEEE SENSORS JOURNAL
Autore/i: Gambi, Ennio; Temperini, Giulia; Galassi, Rossana; Senigagliesi, Linda; De Santis, Adelmo
Classificazione: 1 Contributo su Rivista
Abstract: The Human Activity Recognition is a focal point for Ambient Assisted Living, and may be implemented in several ways usually involving the use of different technologies, as wearable, video, environmental or radio frequency sensors, which can be used alone or in combination among them. Recently, the approaches based on machine learning have attracted a lot of interest, especially in order to create recognition systems that do not require a high detection capacity by the single sensor, as they base their decision on the processing of the information acquired from multiple sensors simultaneously. The aim of the present work is to derive information about the activities that are carried out inside the house on the basis of the data acquired by a set of sensors analyzing the air components. The Human Activity Recognition is then the result of a machine learning classification of the output of an array of low cost “commercial off-the-shelf” air quality sensors. The considered recognition system exploits electrochemical sensing, Wi-Fi technology, cloud computing, machine learning and application services. The obtained results evidence that a good accuracy in the recognition of “activities of daily living” is reached, even if a not calibrated sensing was performed.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/282885 Collegamento a IRIS

2020 Odorant Monitoring in Natural Gas Pipelines Using Ultraviolet-Visible Spectroscopy
APPLIED SPECTROSCOPY
Autore/i: Galassi, Rossana; Contini, Christian; Pucci, Matteo; Gambi, Ennio; Manca, Gabriele
Classificazione: 1 Contributo su Rivista
Abstract: The remote, timely and in-field detection of sulfured additives in natural gas pipelines is a challenge for environmental, commercial and safety reasons. Moreover, the constant control of the level of odorants in a pipeline is required by law to prevent explosions and accidents. Currently, the detection of the most common odorants (THT = tetrahydrothiophane; TBM = tertiary butyl mercaptan) added to natural gas streams in pipelines is made in situ by using portable gas chromatography apparatuses. In this study, we report the analysis of the ultraviolet spectra obtained by a customized ultraviolet spectrophotometer, named Spectra, for the in-field detection of thiophane and tertiary butyl mercaptan. Spectra were conceived to accomplish the remote analysis of odorants in the pipelines of the natural gas stream through the adoption of technical solutions aimed to adapt a basic bench ultraviolet spectrophotometer to the in-field analysis of gases. The remotely controlled system acquires spectra continuously, performing the quantitative determination of odorants and catching systemic or accidental variations of the gaseous mixture in different sites of the pipeline. The analysis of the experimental spectra was carried out also through theoretical quantum mechanical approaches aimed to detect and to correctly assign the nature of the intrinsic electronic transitions of the two odorants, thiophane and tertiary butyl mercaptan, that cause the ultraviolet absorptions. So far, these theoretical aspects have never been studied before. The absorption maxima of thiophane and tertiary butyl mercaptan spectra were computationally simulated through the usage of selected molecular models with satisfactory results. The good matches between the experimental and theoretical datasets corroborate the reliability of the collected data. During the tests, unexpected pollutants and accidental malfunctions have been detected and also identified by Spectra, making this instrument suitable for many purposes.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/284210 Collegamento a IRIS

2020 Physical Layer Authentication Techniques based on Machine Learning with Data Compression
2020 IEEE Conference on Communications and Network Security, CNS 2020
Autore/i: Senigagliesi, L.; Baldi, M.; Gambi, E.
Editore: Institute of Electrical and Electronics Engineers Inc.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Wireless communications employing multi-carrier transmissions, like orthogonal frequency division multiplexing (OFDM) or single-carrier frequency division multiple access (SCFDMA) may involve the use of a large number of subcarriers. In Internet of Things (IoT) contexts, however, the use of such technologies implies the fast management of large amounts of samples on devices with limited memory and computational resources. The adoption of physical layer authentication protocols in IoT may suffer from this fact, especially when they exploit machine learning algorithms yielding a significant computational burden. For instance, the complexity of Nearest Neighbor classifiers strictly depends on the training set dimension, which is directly proportional to the number of used subcarriers. In order to deal with this issue, we start from a naive approach based on random sampling of the input data to extract features, and then consider more advanced data dimension reduction algorithms, such as Principal Component Analysis (PCA) and t-distributed Stochastic Neighbor Embedding (t-SNE). We show that PCA is able to guarantee the best trade-off between authentication performance and complexity, while the application of t-SNE is effective when one wants to reduce data to a very small number of features.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/285659 Collegamento a IRIS

2020 Customizable hierarchical wireless sensor networks based on genetic algorithm
INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING, INFORMATION & CONTROL
Autore/i: Zanaj, Elma; Gambi, Ennio; Zanaj, Blerina; Disha, Deivis
Classificazione: 1 Contributo su Rivista
Abstract: This paper presents a design tool for WSNs based to optimization mecha- nisms that enable the user to build a network topology selected by optimizing different potential configurations. Through the suggested mechanisms, it can also be determined the optimal number of active network nodes to meet the requirements of a specific ap- plication before the physical implementation of the system. In this paper we propose a customizable heuristic approach of WSNs topology design based on genetic algorithms, in order to take account of specific application parameters: coverage, energy efficiency, system node degree in the environment and network lifetime. Innovation of our method is in a proper representation of different weight coefficients used to study the optimization of the network. The results of simulations prove that the overall network performance of the proposed heuristic deployment approach is superior compared to random WSN de- ployment.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/282959 Collegamento a IRIS

2020 Underwater wireless sensor networks: Estimation of acoustic channel in shallow water
APPLIED SCIENCES
Autore/i: Zanaj, E.; Gambi, E.; Zanaj, B.; Disha, D.; Kola, N.
Classificazione: 1 Contributo su Rivista
Abstract: Underwater sensor networks (UWSN) include a large number of devices and sensors which are positioned in a specific area to carry out monitoring in cooperation with each other as well as data collection. In this paper it has been studied and simulated the performance of an extremely important parameter for communication in UWSN such as the acoustic channel capacity as function of water temperature and salinity arise. The performance's knowledge on acoustic channel may be improved with a deep study of its dependence by season, weather conditions or environmental parameters variation. If an accurate estimation of the acoustic communication capacity utilization for a given area is required, we must consider also the bottom materials of this area. The simulation results presented in this study through an improved algorithm, will help to understand better the underwater acoustic channel performance as a function of all these factors. This is of particular importance for acoustic modems designing, in order to implement suitable functionalities able to adapt the data transmission capacity of the acoustic link to the structure of the oceanic bottom and its component material.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/285696 Collegamento a IRIS

2020 Contactless Walking Recognition based on mmWave RADAR
Proceedings - IEEE Symposium on Computers and Communications - 2020
Autore/i: Senigagliesi, Linda; Ciattaglia, Gianluca; Gambi, Ennio
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Analysis of a person's movement provides important information about his or her health status. This analysis can be performed with wearable devices or with contactless technologies. These latter in particular are of some interest, since the subject is free to move and the analysis of the movement is realistic. Despite being designed for other purposes, automotive mmWaves radars represent a powerful low-cost technology for detecting people's movements without contact which finds interesting applications as a support for home monitoring of health conditions. In this paper it is shown how to exploit commercial radars to distinguish with high precision the way of walking of a subject and the position of his hands during the activity carried out. The application of Principal Component Analysis (PCA) for feature extraction from raw data is considered, together with supervised machine learning algorithms for the actual classification of the various activities carried out during the experiments.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/285695 Collegamento a IRIS

2020 Simulation of UWSNs performance evaluation
INTERNATIONAL JOURNAL OF EMERGING TECHNOLOGIES IN ENGINEERING RESEARCH
Autore/i: Zanaj, E.; Zanaj, B.; Gambi, E.; Disha, D.
Classificazione: 1 Contributo su Rivista
Abstract: An extremely influential phenomenon in Underwater Sensor Networks shallow areas is the multipath effect. The transmission in underwater is being applied in depth areas up to 200 m. The receiving nodes receive the signal both from the direct path as well as from the other paths formed as result of the sea surface and bottom reflections. Losses from the surface reflections will increase if the surface roughness increases or, in other words, if the wind speed blowing in the surface increases. On the other hand, losses introduced from the bottom reflections will depend from the material composition. The total delay increases for more reflections as the signal that propagates from a longer path takes more time to reach the receiver when compared to the signal from the direct path. If we want to estimate the communication ability of acoustic channel, we need to consider the different materials that build the bottom of ocean and the reflection and dispersion of the signal during transmission in such links. © 2020, World Academy of Research in Science and Engineering. All rights reserved.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/285692 Collegamento a IRIS

2020 Comparison of Statistical and Machine Learning Techniques for Physical Layer Authentication
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
Autore/i: Senigagliesi, Linda; Baldi, Marco; Gambi, Ennio
Classificazione: 1 Contributo su Rivista
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/284706 Collegamento a IRIS

2020 Millimeter Wave Radar data of people walking
DATA IN BRIEF
Autore/i: Gambi, Ennio; Ciattaglia, Gianluca; De Santis, Adelmo; Senigagliesi, Linda
Classificazione: 1 Contributo su Rivista
Abstract: This dataset contains complex signals coming from a mmWave FMCW radar system. Signals were acquired during a measurement campaign taken indoor and aimed to assess people's different ways of walking. Measurement setup and devices are described. The dataset consists of the acquisitions of six different types of activities, performed by 29 subjects who repeat each activity several times. Therefore, the dataset contains multiple different experiments for each activity, for a total of 231 acquisitions. The subjects walk without any constraint or do not follow any pattern, thus making this dataset useful not only for human gait recognition but also to evaluate the performance of different radar data processing algorithms.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/285694 Collegamento a IRIS

2020 A Wearable Fall Detection System based on LoRa LPWAN Technology
JOURNAL OF COMMUNICATIONS SOFTWARE AND SYSTEMS
Autore/i: Zanaj, Elma; Disha, Deivis; Spinsante, Susanna; Gambi, Ennio
Classificazione: 1 Contributo su Rivista
Abstract: Several technological solutions now available in the market offer the possibility of increasing the independent life of people who by age or pathologies otherwise need assistance. In particular, internet-connected wearable solutions are of considerable interest, as they allow continuous monitoring of the user. However, their use poses different challenges, from the real usability of a device that must still be worn to the performance achievable in terms of radio connectivity and battery life. The acceptability of a technology solution, by a user who would still benefit from its use, is in fact often conditioned by practical problems that impact the person’s normal lifestyle. The technological choices adopted in fact strongly determine the success of the proposed solution, as they may imply limitations both to the person who uses it and to the achievable performance. In this document, targeting the case of a fall detection sensor based on a pair of sensorized shoes, the effectiveness of a real implementation of an Internet of Things technology is examined. It is shown how alarming events, generated in a metropolitan context, are effectively sent to a supervision system through Low Power Wide Area Network technology without the need for a portable gateway. The experimental results demonstrate the effectiveness of the chosen technology, which allows the user to take advantage of the support of a wearable sensor without being forced to substantially change his lifestyle.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/285693 Collegamento a IRIS

2019 OPENCARE: Emergent Technologies for the Care of Older Adults in Residential Facilities
Lecture Notes in Electrical Engineering
Autore/i: Stara, Vera; Spinsante, Susanna; Olivetti, Paolo; Rossi, Lorena; Montanini, Laura; Gambi, Ennio; Ciattaglia, Gianluca
Editore: Springer Verlag
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/263827 Collegamento a IRIS

2019 A Technological Approach to Support the Care Process of Older in Residential Facilities
Lecture Notes in Electrical Engineering
Autore/i: Gambi, Ennio; Ricciuti, Manola; Ciattaglia, Gianluca; Rossi, Lorena; Olivetti, Paolo; Stara, Vera; Galassi, Rossana
Editore: Springer, Cham
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Faced with an increasing number of elderly housed in residential facilities, there is a request for greater transparency regarding the state of health of the guests and the level of assistance that these guests are offered. The OPENCARE project described in this article aims to respond to this need to promote communication between residential structures and guest families, by introducing a technological platform able to meet this requirement without the need to increase the workload of the operators. Therefore, this article describes the solution adopted, which are based both on data acquired from sensors and on those entered by the operators through a suitably designed interface.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/264586 Collegamento a IRIS

2019 Automotive radar application for structural health monitoring
WIT Transactions on the Built Environment
Autore/i: Gambi, E.; Ciattaglia, G.; DE SANTIS, A.
Editore: WITPress
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Monitoring of communication and residential infrastructures, such as buildings, bridges and tunnels, has always been important to ensure the safety of citizens. In particular, it is of interest to verify the level of mechanical stress to which bridges and buildings are subjected during earthquakes, measuring the oscillations that the structure undergoes during the seismic event, in order to verify the overcoming of safety thresholds, in which stability may be impaired. In this paper the mmWave radars designed for the automotive world is taken into account, since it allows high precision measurements at a relatively low cost. mmWave radars are able to detect vibrations of the order of tens of microns and, therefore, are very useful for monitoring buildings. Furthermore, using MIMO (Multiple Input Multiple Output) mmWave radars, it is possible to implement the Beamforming technology for the spatial shaping of the radio beam, in order to detect more targets simultaneously. In this way it is possible to monitor multiple buildings or structures simultaneously, or different parts of the same structure with a single sensor. The objective of the present work is to show the applicability of automotive radar to the measurement of oscillations suffered by buildings and bridges, in order to be used as a monitoring tool in the event of earthquakes. Results of software simulations, laboratory test and real measurements on infrastructures are provided.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/273160 Collegamento a IRIS

2019 People Movement Analysis with Automotive Radar
2019 IEEE 23rd International Symposium on Consumer Technologies, ISCT 2019
Autore/i: Gambi, E.; Ciattaglia, G.; De Santis, A.
Editore: Institute of Electrical and Electronics Engineers Inc.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Radars have become very important in the automotive field, as they can be used to increase safety and support autonomous driving. These devices work in the mmWave frequency range and allow a maximum range of 150m yet providing a great accuracy in distance measurement at a low cost. By processing the phase information taken from the radar is it possible to increase the precision of the radar and allow for a resolution in the order of tens of microns. In the present paper automotive radars are applied to the contactless monitoring of people walking, with the aim to evidence some peculiarities of the movement such as walking speed, length and speed of the steps, movement of legs and arms. The obtained results confirm the applicability of this radar in such a context, in order to obtain information to be used in machine learning application for an automatic identification of walking aspects.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/272470 Collegamento a IRIS

2019 Micro Doppler Radar and Depth Sensor Fusion for Human Monitoring in AAL
4th National Conference on Sensors
Autore/i: Spinsante, S.; Pepa, M.; Pirani, S.; Gambi, E.; Fioranelli, F.
Editore: Springer Verlag
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/254477 Collegamento a IRIS

2019 Blind Physical Layer Authentication over Fading Wireless Channels through Machine Learning
2019 IEEE International Workshop on Information Forensics and Security (WIFS)
Autore/i: Senigagliesi, Linda; Cintioni, Lorenzo; Baldi, Marco; Gambi, Ennio
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: The problem of determining the source of a message in a wireless communication link is challenging, especially for those systems in which cryptographic approaches are barely feasible due to limited resources. In this paper we consider a physical layer authentication protocol based on the characteristics of the communication channel and exploiting machine learning techniques to obtain authentication without needing any statistical knowledge of the channel from the authenticator. Different operational conditions are taken into account, considering a set of parallel channels affected by time-varying fading and assuming correlation between an opponent’s channel and the authenticator’s channel. Nearest Neighbor (NN) classification is used for authentication, and since the authenticator has no access to forged messages during the training phase, one-class NN classification algorithms are considered. We show that a good secrecy performance with a small training set may be achieved, allowing detection of an attacker with a very high probability in most of the cases. On the other hand, aiming at guaranteeing security even in the case of rapidly varying channels, these techniques prove to be quite conservative, and exhibit a high probability of refusing uncertain messages even when they come from the legitimate transmitter.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/276586 Collegamento a IRIS

2019 Statistical and Machine Learning-Based Decision Techniques for Physical Layer Authentication
2019 IEEE Global Communications Conference (GLOBECOM)
Autore/i: Senigagliesi, Linda; Baldi, Marco; Gambi, Ennio
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/275253 Collegamento a IRIS

2019 Telecommunications in the ICT Age: From Research to Applications
The First Outstanding 50 Years of “Università Politecnica delle Marche”
Autore/i: Baldi, Marco; Cancellieri, Giovanni; Chiaraluce, Franco; De Santis, Adelmo; Gambi, Ennio; Pierleoni, Paola
Editore: Springer
Luogo di pubblicazione: Cham
Classificazione: 2 Contributo in Volume
Abstract: The human society in the information age deeply relies on digital information processing, communication and storage. Photonic routing and switchingis expected to be exploited in future all-optical networks. Channel coding is needed in order to protect information against natural disturbances, and modern coding schemes are able to reach the ultimate limits predicted by Shannon. On the other hand, postquantum cryptography is necessary for assuring security against cyber attackers, possibly provided with quantum computers. Source coding, especially in video data compression, is recommended for optimizing the bandwidth usage. Spread spectrum systems can solve the problem of radio transmissions over common frequency bands. These technologies are of crucial importance for the evolution of networks and of the whole Internet, allowing people to interact each other and access information in the web. Nowadays, the conventional Internet of people has moved into the pervasive Internet of Things providing innovative services in a variety of application fields. In this respect, domotic systems, based on ambient and wearable sensors, appear of dramatic importance in the design of future assisted living protocols.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/273365 Collegamento a IRIS

2019 Simultaneously acquired data from contactless and wearable devices for direct and indirect heart-rate measurement
DATA IN BRIEF
Autore/i: Pierleoni, P.; Gambi, E.; Ricciuti, M.; Sbrollini, A.; Palma, L.; Belli, A.; Morettini, M.; Burattini, L.
Classificazione: 1 Contributo su Rivista
Abstract: The proposed dataset provides a complete set of simultaneously acquired data from contactless and wearable devices for direct and indirect heart-rate measurement. Data were acquired on a total of 20 healthy white Caucasian subjects wearing no makeup (10 males and 10 females; age: 22.50 ± 1.57 years; height: 173 ± 10 cm; weight: 62.80 ± 9.52 kg) and consisted of: i) videos of the subject's face acquired by a RGB-D (Red, Green, Blue and Depth) camera (Microsoft Kinect v2), which is a contactless device; ii) electrocardiographic (ECG) recordings acquired by a clinical Holter ECG recorder (Global Instrumentation's M12R Holter), which is a wearable device; and iii) heart-rate measurements acquired from a commercial smartwatch (Moto 360 smartwatch by Motorola), which is also a wearable device. ECG recordings were processed to extract the R-peaks position and obtain a reference indirect measurement of the heart rate. A direct measurement of the heart rate was provided by the commercial smartwatch. The dataset here presented could be useful to develop new algorithms for heart-rate detection from contactless devices and to validate contactless heart-rate estimation in comparison to reference heart rate from clinical wearable devices and to heart rate from commercial wearable devices.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/269568 Collegamento a IRIS

2018 Sensitivity of the Contactless Videoplethysmography-Based Heart Rate Detection to Different Measurement Conditions
Proceedings of the 26th European Signal Processing Conference (EUSIPCO)
Autore/i: Gambi, Ennio; Ricciuti, Manola; Spinsante, Susanna
Editore: IEEE COMPUTER SOC, 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/259765 Collegamento a IRIS

2018 Smartphone as unobtrusive sensor for real-time sleep recognition
2018 IEEE International Conference on Consumer Electronics (ICCE)
Autore/i: Montanini, Laura; Sabino, Nicola; Spinsante, Susanna; Gambi, Ennio
Editore: IEEE
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Sleep is fundamental to health, performance and well-being. Studies demonstrate that, in some countries, sleep disorders are reaching epidemic levels. For this reason, automatic sleep recognition systems can be helpful, on the one hand, to foster self awareness of own habits and, on the other, to implement environment management policies to encourage sleep. In this context, we propose an unobtrusive smartphone application which relies on contextual and usage information to infer sleep habits in real-time. We test selected features using kNearest Neighbors, Decision Tree, Random Forest, and Support Vector Machine classifiers. Moreover, we exploit a 1st-order Markov Chain to improve the algorithm's performance. Experimental results demonstrate the effectiveness of the proposed approach, achieving acceptable results in term of Precision, Recall, and F1-score.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/259564 Collegamento a IRIS

2018 Fall Detection with Kinect in Top View: Preliminary Features Analysis and Characterization
Smart Objects and Technologies for Social Good. GOODTECHS 2017
Autore/i: Spinsante, Susanna; Ricciuti, Manola; Cippitelli, Enea; Gambi, Ennio
Editore: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 233. Springer, Cham
Classificazione: 2 Contributo in Volume
Abstract: Fall detection is a well investigated research area, for which different solutions have been designed, based on wearable or ambient sensors. Depth sensors, like Kinect, located in front view with respect to the monitored subject, are able to provide the human skeleton through the automatic identification of body joints, and are typically used for their unobtrusiveness and inherent privacy-preserving capability. This paper aims to analyze depth signals captured from a Kinect used in top view, to extract useful features for the automatic identification of falls, despite the unavailability of joints and skeleton data. This study, based on a set of signals captured over a number of test users performing different types of falls and activities, shows that the speed of falling computed over the blob identifying the person, extracted from the depth images, should be used as a feature to spot fall events in conjunction with other metrics, for a better reliability.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/255080 Collegamento a IRIS

2018 A footwear-based methodology for fall detection
IEEE SENSORS JOURNAL
Autore/i: Montanini, Laura; Del Campo, Antonio; Perla, Davide; Spinsante, Susanna; Gambi, Ennio
Classificazione: 1 Contributo su Rivista
Abstract: Automatic fall detection is an active research area since several years. Basically, this is motivated by the impact that falls have, in terms of mortality, morbidity, and social costs, which make them comparable to road traffic injuries. The early detection of a fall can be critical to reduce the mortality rate and to limit the associated health consequences. Technological solutions designed to automatically detect and notify a fall may be classified into wearable and non-wearable. Among the former ones, the use of specific devices to be worn by the subject is a very common assumption, but it fails to address user’s acceptability issues. In fact, the position of the sensor or its visibility may be perceived as a stigma associated with the primary function of fall detection. To address such an issue, this paper presents a methodology for fall detection that relies on a pair of smart shoes, equipped with force sensors and a tri-axial accelerometer, able to detect a fall and notify it to a supervising system. The instrumented footwear enables the analysis of the subject’s motion and foot orientation, recognizing abnormal configurations. The developed algorithm is not computationally intensive, and therefore can be easily executed on board the wearable device. Laboratory tests provided satisfactory performances in falls detection and correct classification: on 544 falls and 136 activities of daily living, performed by 17 healthy subjects, a 97.1% accuracy has been achieved. Further experiments involving two elderly users demonstrate the effectiveness of the proposed method in a real-life scenario.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/252197 Collegamento a IRIS

2018 Self-Adaptive and Lightweight Real-Time Sleep Recognition With Smartphone
JOURNAL OF COMMUNICATION SOFTWARE AND SYSTEMS
Autore/i: Gambi, Ennio; Barbetta, Simone; DE SANTIS, Adelmo; Ricciuti, Manola
Classificazione: 1 Contributo su Rivista
Abstract: It is widely recognized that sleep is a basic physiological process having fundamental effects on human health, performance and well-being. Such evidence stimulates the research of solutions to foster self-awareness of personal sleeping habits, and correct living environment management policies to encourage sleep. In this context, the use of mobile technologies powered with automatic sleep recognition capabilities can be helpful, and ubiquitous computing devices like smartphones can be leveraged as proxies to unobtrusively analyse the human behaviour. To this aim, we propose the implementation of a real-time sleep recognition methodology relied on a smartphone equipped with a mobile app that exploits contextual and usage information to infer sleep habits. As an improvement of already presented solutions, in this proposed application an initial training stage is required, during which the selected features are processed by k-Nearest Neighbors, Decision Tree, Random Forest, and Support Vector Machine classifiers, in order to select the best model for each user. Moreover, a 1st-order Markov Chain is applied to improve the recognition performance. Experimental results demonstrate the effectiveness of the proposed approach, achieving acceptable results in term of Precision, Recall, and F1-score.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/263474 Collegamento a IRIS

2018 A home automation architecture based on LoRa technology and Message Queue Telemetry Transfer protocol
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS
Autore/i: Gambi, Ennio; Montanini, Laura; Pigini, Danny; Ciattaglia, Gianluca; Spinsante, Susanna
Classificazione: 1 Contributo su Rivista
Abstract: In recent years, Internet of Things technologies gained momentum in various application areas, including the Smart Home field. In this view, the smart objects available in the house can communicate with each other and with the outside world by adopting solutions already proposed for Internet of Things. In fact, among the challenges to face during the design and implementation of an Internet of Things–based Smart Home infrastructure, battery usage represents a key point for the realization of an efficient solution. In this context, the communication technology chosen plays a fundamental role, since transmission is generally the most energy demanding task, and Internet of Things communication technologies are designed to reduce as much as possible the power consumption. This article describes an Internet of Things-oriented architecture for the Smart Home, based on the long-range and low-power technology LoRa. Moreover, in order to enable the devices to communicate with each other and the outside world, the Message Queue Telemetry Transfer protocol is used as a domotic middleware. We show that LoRa, designed by having in mind the typical requirements of Internet of Things (i.e. low power consumption, sporadic transmission, and robustness to interference), is well-suited to also meet the need of more established home automation systems, specifically the low latency in message delivery. Interoperability among different devices may also be obtained through the Message Queue Telemetry Transfer midlleware.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/261194 Collegamento a IRIS

2018 Accurate fall detection in a top view privacy preserving configuration
SENSORS
Autore/i: Ricciuti, Manola; Spinsante, Susanna; Gambi, Ennio
Classificazione: 1 Contributo su Rivista
Abstract: Fall detection is one of the most investigated themes in the research on assistive solutions for aged people. In particular, a false-alarm-free discrimination between falls and non-falls is indispensable, especially to assist elderly people living alone. Current technological solutions designed to monitor several types of activities in indoor environments can guarantee absolute privacy to the people that decide to rely on them. Devices integrating RGB and depth cameras, such as the Microsoft Kinect, can ensure privacy and anonymity, since the depth information is considered to extract only meaningful information from video streams. In this paper, we propose an accurate fall detection method investigating the depth frames of the human body using a single device in a top-view configuration, with the subjects located under the device inside a room. Features extracted from depth frames train a classifier based on a binary support vector machine learning algorithm. The dataset includes 32 falls and 8 activities considered for comparison, for a total of 800 sequences performed by 20 adults. The system showed an accuracy of 98.6% and only one false positive.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/258874 Collegamento a IRIS

2017 Technology-based assistance of people with dementia: state of the art, open challenges, and future developments
Human Monitoring, Smart Health and Assisted Living: Techniques and technologies
Autore/i: Susanna, Spinsante; Ennio, Gambi; Laura, Raffaeli; Laura, Montanini; Luca, Paciello; Roberta, Bevilacqua; Carlos, Chiatti; Lorena, Rossi
Editore: Institution of Engineering and Technology
Classificazione: 2 Contributo in Volume
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/250003 Collegamento a IRIS

2017 Human Action Recognition with RGB-D Sensors
Motion Tracking and Gesture Recognition
Autore/i: Cippitelli, Enea; Gambi, Ennio; Spinsante, Susanna
Editore: InTech Open
Luogo di pubblicazione: Rijeka
Classificazione: 2 Contributo in Volume
Abstract: Human action recognition, also known as HAR, is at the foundation of many different applications related to behavioral analysis, surveillance, and safety, thus it has been a very active research area in the last years. The release of inexpensive RGB-D sensors fostered researchers working in this field because depth data simplify the processing of visual data that could be otherwise difficult using classic RGB devices. Furthermore, the availability of depth data allows to implement solutions that are unobtrusive and privacy preserving with respect to classic video-based analysis. In this scenario, the aim of this chapter is to review the most salient techniques for HAR based on depth signal processing, providing some details on a specific method based on temporal pyramid of key poses, evaluated on the well-known MSR Action3D dataset.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/250073 Collegamento a IRIS

2017 Multisensor data fusion for human activities classification and fall detection
2017 IEEE SENSORS
Autore/i: Li, Haobo; Shrestha, Aman; Fioranelli, Francesco; Le Kernec, Julien; Heidari, Hadi; Pepa, Matteo; Cippitelli, Enea; Gambi, Ennio; Spinsante, Susanna
Editore: IEEE
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/252590 Collegamento a IRIS

2017 Interoperability in IoT infrastructures for enhanced living environments
2016 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2016
Autore/i: Gambi, Ennio; Montanini, Laura; Raffaeli, Laura; Spinsante, Susanna; Lambrinos, Lambros
Editore: Institute of Electrical and Electronics Engineers Inc.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: The concept of Internet of Things is being applied in several areas and involves a dramatically increasing number of market sectors. There is a large variety of commercial products, and the competition between different vendors often causes incompatibility among the available solutions. Due to the lack of a reference standard, in the highly fragmented arena of Ambient Assisted Living systems and Smart Home environments, the support to interoperability is recognized as a key requirement for the deployment of successful products. This paper provides a state-of-the-art review of IoT adoption in the field of Ambient Assisted Living systems and Smart Home environments, by describing the most widespread solutions and their main key points, with a specific focus on the features designed to support interoperability. This is currently a matter of interest at a European level, as demonstrated, for example, by the inclusion of interoperability among the requirements that project proposals have to fulfill to be eligible for funding through the AAL Joint Platform calls published in the last years
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/248305 Collegamento a IRIS

2017 Improved solution to monitor people with dementia and support care providers
Lecture Notes in Electrical Engineering
Autore/i: Raffaeli, Laura; Chiatti, CARLOS JUAN; Gambi, Ennio; Montanini, Laura; Olivetti, Paolo; Paciello, Luca; Rascioni, Giorgio; Spinsante, Susanna
Editore: Springer Verlag
Classificazione: 2 Contributo in Volume
Abstract: Assistive Technologies offer the possibility to develop services aimed at improving the Quality of Life of patients and caregivers. Specifically, this work refers to the case of persons with dementia who can live in their homes but need to be assisted. This paper describes a monitoring kit that provides alarms to the caregiver in case of dangerous situations or unusual events detected by the sensors. It is composed by a set of non-intrusive sensors installed within the house, and can be configured in order to best fit with the needs of each patient. The proposed system could have the potentiality to reduce the stress that usually affects the caregivers, due to the continuous effort required and the worry about the patients’ safety. The improved system results from an existing solution that has been re-visited according to the feedbacks obtained from a pilot trial.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/248051 Collegamento a IRIS

2017 A prototype system for mm-wave channel characterization: Issues and results
Proceedings of 2017 IEEE Aerospace Conference
Autore/i: Spinsante, Susanna; Gambi, Ennio; DE SANTIS, Adelmo
Editore: IEEE
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: The deployment of new applications that can expand the mobile systems market is closely related to the availability of very high transmission capacity. Several researches are then developed to achieve this result, introducing as an example new modulation schemes or innovative channel coding technologies. With the aim to use a range of radio frequencies at present not crowded, and thus interference-free, able at the same time to make available a high bandwidth capacity, other researches are considering the possibility of transmitting at carrier frequencies of 60 GHz and beyond. The aim of this paper is to present a prototype for mm-Wave channel measurements, at 76 GHz, in order to derive a propagation model to be applied in different environmental conditions.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/248930 Collegamento a IRIS

2017 Android-Based Liveness Detection for Access Control in Smart Homes
Smart Objects and Technologies for Social Good Second International Conference, GOODTECHS 2016,Proceedings
Autore/i: Spinsante, Susanna; Montanini, Laura; Bartolucci, Veronica; Ricciuti, Manola; Gambi, Ennio
Editore: Springer Verlag
Classificazione: 2 Contributo in Volume
Abstract: In the domain of smart homes, technologies for personal safety and security play a prominent role. This paper presents a low-complexity Android application designed for mobile and embedded devices, that exploits the on-board camera to easily capture two images of the subject, and processes them to discriminate a true 3D and live face from a 2D one. The liveness detection based on such a discrimination provides anti-spoofing capabilities to secure access control based on face recognition. The results obtained are satisfactory even in different ambient light conditions, and further improvements are being developed to deal with low precision image acquisition.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/250249 Collegamento a IRIS

2017 Energy Efficient Communication in Ambient Assisted Living
Ambient Assisted Living and Enhanced Living Environments Principles, Technologies and Control
Autore/i: Chowdhury, Chandreyee; Aslam, Nauman; Spinsante, Susanna; Perla, Davide; DEL CAMPO, Antonio; Gambi, Ennio
Editore: Elsevier
Classificazione: 2 Contributo in Volume
Abstract: Recent advancements in Ambient Assisted Living (AAL) have produced innovative ways to address the needs of people with impairments and elderly improving their quality of life at the stage when it is most desirable. A typical AAL system consists of ubiquitous computing, sensing and communication blocks where wireless ad hoc, body area and sensor networks play a vital role to facilitate the transmission of sensed data from physiological and ambient sensors to the health-care professionals or monitoring facilities. While the end-to-end communication architecture in a typical AAL system remains heterogeneous, the key functional blocks of wireless body area and sensor network impose significant challenges concerning reliability, efficient use of spectrum and energy efficiency. This chapter focuses on an important challenge concerning energy efficient communication in a multi-tier AAL system. Following a thorough analysis of energy efficiency requirements for communication architectures and protocols in AAL, we provide recent research outputs highlighting the design and development of a multi-tier communication protocol. The proposed communication protocol focuses on inter-Body Area Network (BAN) communication.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/250248 Collegamento a IRIS

2017 Supporting Caregivers in Nursing Homes for Alzheimer’s Disease Patients: A Technological Approach to Overnight Supervision
Information and Communication Technologies for Ageing Well and e-Health
Autore/i: Montanini, Laura; Raffaeli, Laura; DE SANTIS, Adelmo; DEL CAMPO, Antonio; Chiatti, CARLOS JUAN; Paciello, Luca; Gambi, Ennio; Spinsante, Susanna
Editore: Springer
Classificazione: 2 Contributo in Volume
Abstract: The reduction of public expenditure and investments in health care provisioning calls for new, sustainable models to transform the increasing aging population and dementia-related diseases incidence from global challenges into new opportunities. In this context, Information and Communication Technologies play a vital role, to both promote aging in place and home management of Patients with Dementia, and to provide new tools and solutions to facilitate the working conditions of the care staff in nursing homes, which remain an essential facility when cognitive-impaired patients cannot live at home anymore. Night staff in nursing homes are a vulnerable group, receiving less supervision and support than day staff, but with high levels of responsibility. Additionally, nighttime attendance of patients affected by dementia may be difficult, because of their incremented neuropsychiatric symptoms. This paper describes an integrated system for the night monitoring of patients with dementia in nursing homes, based on a product originally conceived for domestic use, but re-designed to provide support to nurses, by means of a set of sensors located in each patient’s room, and suitable software applications to detect dangerous events and raise automatic alerts delivered to the nurses through mobile devices. The results obtained from the first experimental installation of the monitoring system proved the effectiveness of the proposed solution to support nurses during the night supervision of patients, and suggested suitable modifications and additional features to increase the nurses’ compliance.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/250246 Collegamento a IRIS

2017 Smartphones as Multipurpose Intelligent Objects for AAL: Two Case Studies
Smart Objects and Technologies for Social Good Second International Conference, GOODTECHS 2016,Proceedings
Autore/i: Spinsante, Susanna; Montanini, Laura; Gambi, Ennio; Lambrinos, Lambros; Pereira, Fábio; Pombo, Nuno; Garcia, Nuno
Editore: Springer Verlag
Classificazione: 2 Contributo in Volume
Abstract: The increasing adoption of smartphones among older adults, especially in most developed countries, suggests they can be used not only for personal communications, but also in the framework of Active and Assisted Living solutions. This paper addresses two case studies in which a smartphone, when equipped with a proper software application, may operate as an inactivity monitor, and a drug management assistant, respectively. Activity monitoring is carried out by targeting the user’s interaction with the smartphone related to incoming, outgoing, and lost calls. In the latter case, an application processes images of drugs boxes captured by the smartphone camera, to automatically recognize the name of the drug, and inform the user about the corresponding prescription. Experimental results show this kind of approach is technically feasible and may provide satisfactory performance through a very easy interaction, thus supporting improved medication adherence by patients.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/250250 Collegamento a IRIS

2017 The Human Factor in the Design of Successful Ambient Assisted Living Technologies
Ambient Assisted Living and Enhanced Living Environments - Principles, Technologies and Control
Autore/i: Spinsante, Susanna; Stara, Vera; Felici, Elisa; Montanini, Laura; Raffaeli, Laura; Rossi, Lorena; Gambi, Ennio
Editore: Elsevier
Classificazione: 2 Contributo in Volume
Abstract: The increasing incidence of ageing population in modern societies challenges the ability of families, states and communities to sustain new emerging needs. Assistive devices can help older people to maintain their ability in performing activities of daily living and, therefore, their independence. However, despite the huge public and private investments and efforts in research and development, the so-called silver market has not been able to grow at the expected pace: many barriers stand in the way leading from prototypes to products, especially when the target is an inhomogeneous group, as elderly people, and an explicit understanding of users, their needs, expectations and limitations, is not accounted for during the design process. This Chapter discusses the basic role of the human centric approach in the design of assistive technologies, and, by analyzing the outcomes of previous experiences, provides a set of guidelines that can help transforming a disruptive prototype into a successful product.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/250247 Collegamento a IRIS

2017 Feature diversity for fall detection and human indoor activities classification using radar systems
Proceedings of IET International Conference on Radar Systems (Radar 2017)
Autore/i: Shrestha, A.; Le Kernec, J.; Fioranelli, F.; Cippitelli, E.; Gambi, E.; Spinsante, S.
Editore: IET
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/269430 Collegamento a IRIS

2017 Radar and RGB-Depth Sensors for Fall Detection: A Review
IEEE SENSORS JOURNAL
Autore/i: Cippitelli, Enea; Fioranelli, Francesco; Gambi, Ennio; Spinsante, Susanna
Classificazione: 1 Contributo su Rivista
Abstract: This paper reviews recent works in the literature on the use of systems based on radar and RGB-Depth sensors for fall detection, and discusses the open research challenges and trends related to this research field. Systems to detect reliably fall events and promptly alert carers and first responders have gained significant interest in the past few years in order to address the societal issue of an increasing number of elderly people living alone, with the associated risk of them falling and the consequences in terms of health treatments, reduced well-being, and costs. The interest in radar and RGB-D sensors is related to their capability to enable contactless and non-intrusive monitoring, which may be an advantage for practical deployment and acceptance of indoor fall detection systems, with respect to other sensor technologies such as video-cameras, or wearables. Furthermore, the possibility of eventually combining and fusing information from heterogeneous types of sensors is expected to improve the overall performance of practical fall detection systems, hence researchers can benefit from multidisciplinary knowledge and awareness of the latest developments in different sensor fields.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/246517 Collegamento a IRIS

2017 Access Control in Smart Homes by Android-Based Liveness Detection
ICST TRANSACTIONS ON AMBIENT SYSTEMS
Autore/i: Spinsante, Susanna; Montanini, Laura; Bartolucci, Veronica; Ricciuti, Manola; Pigini, Danny; Gambi, Ennio
Classificazione: 1 Contributo su Rivista
Abstract: Technologies for personal safety and security play an increasing role in modern life, and are among the most valuable features expected to be supported by so-called smart homes. This paper presents a low-complexity Android application designed for both mobile and embedded devices, that exploits the available on-board camera to easily capture two images of a subject, and processes them to discriminate a true 3D and live face, from a fake or printed 2D one. The liveness detection based on such a discrimination provides antispoofing capabilities to secure access control based on face recognition. The limited computational complexity of the developed application makes it suitable for practical implementation in video-entry phones based on embedded Android platforms. The results obtained are satisfactory even in different ambient light conditions, and further improvements are being developed to deal with low precision image acquisition.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/248929 Collegamento a IRIS

2017 Heart Rate Detection Using Microsoft Kinect: Validation and Comparison to Wearable Devices
SENSORS
Autore/i: Gambi, Ennio; Agostinelli, Angela; Belli, Alberto; Burattini, Laura; Cippitelli, Enea; Fioretti, Sandro; Pierleoni, Paola; Ricciuti, Manola; Sbrollini, Agnese; Spinsante, Susanna
Classificazione: 1 Contributo su Rivista
Abstract: Contactless detection is one of the new frontiers of technological innovation in the field of healthcare, enabling unobtrusive measurements of biomedical parameters. Compared to conventional methods for Heart Rate (HR) detection that employ expensive and/or uncomfortable devices, such as the Electrocardiograph (ECG) or pulse oximeter, contactless HR detection offers fast and continuous monitoring of heart activities and provides support for clinical analysis without the need for the user to wear a device. This paper presents a validation study for a contactless HR estimation method exploiting RGB (Red, Green, Blue) data from a Microsoft Kinect v2 device. This method, based on Eulerian Video Magnification (EVM), Photoplethysmography (PPG) and Videoplethysmography (VPG), can achieve performance comparable to classical approaches exploiting wearable systems, under specific test conditions. The output given by a Holter, which represents the gold-standard device used in the test for ECG extraction, is considered as the ground-truth, while a comparison with a commercial smartwatch is also included. The validation process is conducted with two modalities that differ for the availability of a priori knowledge about the subjects' normal HR. The two test modalities provide different results. In particular, the HR estimation differs from the ground-truth by 2% when the knowledge about the subject's lifestyle and his/her HR is considered and by 3.4% if no information about the person is taken into account.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/250486 Collegamento a IRIS

2017 Analysis and Tools for Improved Management of Connectionless and Connection-Oriented BLE Devices Coexistence
SENSORS
Autore/i: DEL CAMPO, Antonio; Cintioni, Lorenzo; Spinsante, Susanna; Gambi, Ennio
Classificazione: 1 Contributo su Rivista
Abstract: With the introduction of low-power wireless technologies, like Bluetooth Low Energy (BLE), new applications are approaching the home automation, healthcare, fitness, automotive and consumer electronics markets. BLE devices are designed to maximize the battery life, i.e., to run for long time on a single coin-cell battery. In typical application scenarios of home automation and Ambient Assisted Living (AAL), the sensors that monitor relatively unpredictable and rare events should coexist with other sensors that continuously communicate health or environmental parameter measurements. The former usually work in connectionless mode, acting as advertisers, while the latter need a persistent connection, acting as slave nodes. The coexistence of connectionless and connection-oriented networks, that share the same central node, can be required to reduce the number of handling devices, thus keeping the network complexity low and limiting the packet's traffic congestion. In this paper, the medium access management, operated by the central node, has been modeled, focusing on the scheduling procedure in both connectionless and connection-oriented communication. The models have been merged to provide a tool supporting the configuration design of BLE devices, during the network design phase that precedes the real implementation. The results highlight the suitability of the proposed tool: the ability to set the device parameters to allow us to keep a practical discovery latency for event-driven sensors and avoid undesired overlaps between scheduled scanning and connection phases due to bad management performed by the central node.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/246266 Collegamento a IRIS

2017 A LoRa enabled building automation architecture based on MQTT
AEIT International Annual Conference, 2017
Autore/i: Spinsante, Susanna; Ciattaglia, Gianluca; Del Campo, Antonio; Perla, Davide; Pigini, Danny; Cancellieri, Giovanni; Gambi, Ennio
Editore: IEEE
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/252589 Collegamento a IRIS

2016 Integrated Smart TV-Based Personal e-Health System
INTERNATIONAL JOURNAL OF E-HEALTH AND MEDICAL COMMUNICATIONS
Autore/i: Raffaeli, Laura; Susanna, Spinsante; Ennio, Gambi
Classificazione: 1 Contributo su Rivista
Abstract: This paper discusses the design and experimental implementation of an integrated system for the delivery of health related services, based on different technologies and devices. The idea is to create a unique point of access for the user, towards both a cloud-based remote service for the consultation of medical reports, and a personal local service that allows to collect and display data from biomedical sensors, to manage user's reminders for medicines, and to monitor the patient's dietary habits. The proposed system employs suitable technologies to simplify the user interaction, such as Near Field Communications enabled devices, and a smart TV equipment. By this way, it is possible to effectively deliver telehealth services also to users who may be less familiar with technological equipments, such as older adults, or people living in rural communities. The experimental implementation proves the feasibility of the proposed service, and the possibility to gain users' adherence and compliance, through proper design criteria.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/234270 Collegamento a IRIS

2016 Data Management in Ambient Assisted Living Platforms Approaching IoT: A Case Study
2015 IEEE Globecom Workshops (GC Wkshps)
Autore/i: Spinsante, S.; Gambi, E.; Montanini, L.; Raffaeli, L.
Editore: Institute of Electrical and Electronics Engineers Inc.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: The adoption of the Internet of Things paradigm in Ambient Assisted Living platforms requires the investigation and analysis of issues related to data collection and processing. In fact, the peculiarities of Ambient Assisted Living services and applications pose specific requirements on the way data originated from sensors should be processed (locally or remotely), delivered (as raw data, or in aggregated fashion), and, of course, how they should be shared or protected. This paper analyses the issues related to data management starting from a review of the state of the art, in order to draw general trends or widespread approaches, that are then discussed and evaluated with respect to a practical implementation presented as a case study.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/234168 Collegamento a IRIS

2016 Evaluation of a skeleton-based method for human activity recognition on a large-scale RGB-D dataset
IET Conference Publications
Autore/i: Cippitelli, Enea; Gambi, Ennio; Spinsante, Susanna; Flórez-Revuelta, Francisco
Editore: Institution of Engineering and Technology
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/248302 Collegamento a IRIS

2016 MQTT in AAL systems for home monitoring of people with dementia
IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC
Autore/i: DEL CAMPO, Antonio; Gambi, Ennio; Montanini, Laura; Perla, Davide; Raffaeli, Laura; Spinsante, Susanna
Editore: Institute of Electrical and Electronics Engineers Inc.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/248296 Collegamento a IRIS

2016 User interfaces in smart assistive environments: Requirements, devices, applications
Handbook of Research on Human-Computer Interfaces, Developments, and Applications
Autore/i: Raffaeli, Laura; Montanini, Laura; Gambi, Ennio; Spinsante, Susanna
Editore: IGI Global
Classificazione: 2 Contributo in Volume
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/248299 Collegamento a IRIS

2016 An integrated approach to fall detection and fall risk estimation based on RGB-depth and inertial sensors
ACM International Conference Proceeding Series
Autore/i: Cippitelli, Enea; Gasparrini, Samuele; Gambi, Ennio; Spinsante, Susanna
Editore: Association for Computing Machinery
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/248297 Collegamento a IRIS

2016 Proposal and experimental evaluation of fall detection solution based on wearable and depth data fusion
Advances in Intelligent Systems and Computing
Autore/i: Gasparrini, Samuele; Cippitelli, Enea; Gambi, Ennio; Spinsante, Susanna; Wåhslén, J.; Orhan, I.; Lindh, T.
Editore: Springer-Verlag
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Fall injury issues represent a serious problem for elderly in our society. These people want to live in their home as long as possible and technology can improve their security and independence. In this work we study the joint use of a camera based system and wearable devices, in the so called data fusion approach, to design a fall detection solution. The synchronization issues between the heterogeneous data provided by the devices are properly treated, and three different fall detection algorithms are implemented. Experimental results are also provided, to compare the proposed solutions.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/236340 Collegamento a IRIS

2016 Unobtrusive intake actions monitoring through RGB and depth information fusion
Proceedings - 2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing, ICCP 2016
Autore/i: Cippitelli, Enea; Gasparrini, Samuele; Gambi, Ennio; Spinsante, Susanna
Editore: Institute of Electrical and Electronics Engineers Inc.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/248298 Collegamento a IRIS

2016 Feasibility of e-health services through the smart TV: A prototype demonstrator
INTERNATIONAL JOURNAL OF MEDICAL ENGINEERING AND INFORMATICS
Autore/i: Raffaeli, Laura; Spinsante, Susanna; Gambi, Ennio
Classificazione: 1 Contributo su Rivista
Abstract: Public institutions worldwide are moving a number of services targeted to citizens from traditional data infrastructures to cloud based technologies, with the aim of improving the quality offered, and reducing costs. This phenomenon is particularly relevant in the field of health-related public services. Among the technological devices and media enabling users' access to such services, the emerging smart TV platform represents a promising and valid means of interaction. In many countries, where population ageing is becoming the leading welfare concern, information and communication technologies are expected to play a basic role in alleviating the pressure on public healthcare services. In this scenario, the paper discusses the feasibility of an e-health service delivered through the smart TV, by the design and implementation of a prototype application that enables the remote consultation of personal medical reports. Users can access their personal health records, and visualise the outcomes of medical examinations performed at a specific laboratory by interacting with the smart TV through its remote controller.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/240506 Collegamento a IRIS

2016 TST Intake Monitoring dataset V1
TST Intake Monitoring dataset v1
Autore/i: Cippitelli, E.; Gambi, E.; Gasparrini, S.; Spinsante, S.
Classificazione: 5 Altro
Abstract: The dataset contains depth frames collected using Microsoft Kinect v1 during the execution of food and drink intake movements.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/240014 Collegamento a IRIS

2016 Human action recognition based on temporal pyramid of key poses using RGB-D sensors
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Autore/i: Cippitelli, Enea; Gambi, Ennio; Spinsante, Susanna; Florez-Revuelta, Francisco
Editore: Springer Verlag
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/240504 Collegamento a IRIS

2016 Overnight supervision of Alzheimer's disease patients in nursing homes: System development and field trial
ICT4AWE 2016 - 2nd International Conference on Information and Communication Technologies for Ageing Well and e-Health, Proceedings
Autore/i: Montanini, Laura; Raffaeli, Laura; De Santis, Adelmo; Del Campo, Antonio; Chiatti, Carlos; Rascioni, Giorgio; Gambi, Ennio; Spinsante, Susanna
Editore: SciTePress
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/240926 Collegamento a IRIS

2016 An OpenCV based android application for drowsiness detection on mobile devices
Lecture Notes in Electrical Engineering Code 179299
Autore/i: Montanini, Laura; Gambi, Ennio; Spinsante, Susanna
Editore: Springer Verlag
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/236644 Collegamento a IRIS

2016 BLE analysis and experimental evaluation in a walking monitoring device for elderly
IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC
Autore/i: DEL CAMPO, Antonio; Montanini, Laura; Perla, Davide; Gambi, Ennio; Spinsante, Susanna
Editore: Institute of Electrical and Electronics Engineers Inc.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/248295 Collegamento a IRIS

2016 A Human Activity Recognition System Using Skeleton Data from RGBD Sensors
COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE
Autore/i: Cippitelli, Enea; Gasparrini, Samuele; Gambi, Ennio; Spinsante, Susanna
Classificazione: 1 Contributo su Rivista
Abstract: The aim of Active and Assisted Living is to develop tools to promote the ageing in place of elderly people, and human activity recognition algorithms can help to monitor aged people in home environments. Different types of sensors can be used to address this task and the RGBD sensors, especially the ones used for gaming, are cost-effective and provide much information about the environment. This work aims to propose an activity recognition algorithm exploiting skeleton data extracted by RGBD sensors. The system is based on the extraction of key poses to compose a feature vector, and a multiclass Support Vector Machine to perform classification. Computation and association of key poses are carried out using a clustering algorithm, without the need of a learning algorithm. The proposed approach is evaluated on five publicly available datasets for activity recognition, showing promising results especially when applied for the recognition of AAL related actions. Finally, the current applicability of this solution in AAL scenarios and the future improvements needed are discussed.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/234256 Collegamento a IRIS

2015 Unobtrusive Monitoring of Physical Activity in AAL. A Simple Wearable Device Designed for Older Adults
Proceedings of the 1st International Conference on Information and Communication Technologies for Ageing Well and e-Health
Autore/i: De Santis, Adelmo; Del Campo, Antonio; Gambi, Ennio; Montanini, Laura; Pelliccioni, Giovanni; Perla, Davide; Spinsante, Susanna;
Editore: SCITEPRESS – Science and Technology Publications
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Many solutions and projects proposed within the Ambient Assisted Living research area, aim at monitoring the degree of vitality of elderly users in their daily activities, and in their home environment, to possibly avoid or strongly limit the need for clinical evaluations. In fact, the information on the subject’s vitality, manifested through his/her activity profile, may be used to evaluate possible anomalous trends, related to cognitive or physical decay. For such a kind of analysis to be realistically affordable, the monitoring device shall be unobtrusive, and transparent to the user. With the aim of striving for the simplest and most reliable design compatible with the aforementioned requirements, this paper presents a wearable device equipped with a sensing insole hosting force sensors, and the related electronics for signal processing and data transmission. The device locally classifies different dynamic states (sitting, walking, standing) and transmits the corresponding information to a supervising system. Preliminary experimental results confirm the effectiveness of the approach, in correctly detecting and classifying the user’s activities.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/226941 Collegamento a IRIS

2015 Depth Cameras in AAL Environments: Technology and Real-world Applications
Assistive Technologies for Physical and Cognitive Disabilities.
Autore/i: Gasparrini, Samuele; Cippitelli, Enea; Spinsante, Susanna; Gambi, Ennio;
Editore: IGI Global
Luogo di pubblicazione: Hershey, Pennsylvania (USA)
Classificazione: 2 Contributo in Volume
Abstract: Automatic and privacy-preserving systems to monitor elderly people in their home environment are one of the basic targets addressed by the wide research area of Ambient Assisted Living. Thanks to the low-cost Microsoft Kinect® device, high-resolution depth and visual sensing is now not limited to experimental and prototype implementations and is ready to address marketable solutions. This chapter emphasizes the advantages provided by Kinect in the field of automatic monitoring, discussing its performance in human subject detection and tracking. Two sample use cases are discussed in detail: the former deals with generating a numerical representation of the Get Up and Go Test outcome, the latter implements an automatic fall detection algorithm based on depth frames analysis, with the sensor in a top configuration. The chapter ends suggesting issues that need to be addressed to further extend the range of applications for the Kinect device and enhance the obtainable performance.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/226952 Collegamento a IRIS

2015 De Bruijn sequences for DS/CDMA transmission: Efficient generation, statistical analysis and performance evaluation
Proceedings of IEEE Aerospace Conference 2015
Autore/i: Spinsante, Susanna; Sarayloo, Mahdiyar; Gambi, Ennio; Warty, Chirag; Sacchi, Claudio;
Editore: IEEE Publisher
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Nowadays, Direct Sequence Code Division Multiple Access (DS/CDMA) still represents the core technology for the physical layer of several commercially-remunerative applications and standards, ranging from cellular networking, radiolocalization, satellite communications, automotive radar, etc. A very critical issue of Spread Spectrum and CDMA is still represented by the necessity of keeping the probability of intercept as lowest as possible, therefore, a secure information hiding must be guaranteed at the physical layer. The use of De Bruijn binary sequences may represent a valuable solution to the aforesaid issue. De Bruijn sequences are nonlinear shift register sequences, whose sets are characterized by a cardinality much larger than the sequence length. This paper aims at considering some significant aspects about the usage of De Bruijn sequences in DS/CDMA, not yet addressed by prior works: the performance of De Bruijn sequences in asynchronous DS/CDMA transmission is assessed by means of explicit computations of multi-user interference statistics (variance and kurtosis), and closed form Bit-Error-Probability (BEP) analytic expressions. Numerical results on the obtained BEP after Reed-Solomon coding evidence that, when randomly selected, De Bruijn sequences perform very close to Gold sequences having the same length. The performance provided by De Bruijn sequences get remarkably better than the Gold ones when a proper selection procedure, aimed at minimizing the pairwise aperiodic cross-correlation, is adopted. The selection procedure and the corresponding results are discussed in details within the paper.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/226939 Collegamento a IRIS

2015 Low complexity head tracking on portable android devices for real time message composition
JOURNAL ON MULTIMODAL USER INTERFACES
Autore/i: Montanini, Laura; Cippitelli, Enea; Gambi, Ennio; Spinsante, Susanna;
Classificazione: 1 Contributo su Rivista
Abstract: For the people who are totally or partially unable to move or control their limbs and cannot rely on verbal communication, it is very important to obtain an interface capable of interpreting their limited voluntary movements, in order to allow communications with friends, relatives and care providers, or to send commands to a system. This paper presents a real time software application for disabled subjects, suffering from both motor and speech impairments, that provides message composition and speech synthesis functionalities based on face detection and head tracking. The proposed application runs on portable devices equipped with Android Operating System, and relies upon the O.S.'s native computer vision primitives, without resorting to any external software library. This way, the available camera sensors are exploited, and the device computational requirements accomplished. Experimental results show the effectiveness of the application in recognizing the user's movements, and the reliability of the message composition and speech synthesis functionalities.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/226831 Collegamento a IRIS

2015 Multimodal interaction in a elderly-friendly smart home: A case study
Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST.
Autore/i: Spinsante, Susanna; Cippitelli, Enea; DE SANTIS, Adelmo; Gambi, Ennio; Gasparrini, Samuele; Montanini, Laura; Raffaeli, Laura
Editore: Springer Verlag
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: This paper discusses different and multimodal user-system interfaces proposed in the framework of a smart home designed to support the independent living of elderly and frail users. It is shown how different technologies and solutions may be complemented and integrated to provide effective interaction both for routine activities of daily living and anomalous situations.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/226834 Collegamento a IRIS

2015 Performance analysis of self-organising neural networks tracking algorithms for intake monitoring using kinect
IET International Conference on Technologies for Active and Assisted Living (TechAAL)
Autore/i: Gasparrini, S.; Cippitelli, E.; Gambi, E.; Spinsante, S.; Florez-Revuelta, F.
Editore: IET
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/234167 Collegamento a IRIS

2015 Time Synchronization and Data Fusion for RGB-Depth Cameras and Inertial Sensors in AAL Applications
Proc. of IEEE ICC 2015 Workshop on ICT-enabled services and technologies for eHealth and Ambient Assisted Living
Autore/i: Cippitelli, Enea; Gasparrini, Samuele; Gambi, Ennio; Spinsante, Susanna; Wahslen, Jonas; Orhan, Ibrahim; Lindh, Thomas
Editore: IEEE
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/227683 Collegamento a IRIS

2015 Mission analysis for the optimization of the GPS coverage for an earth observation satellite
Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Autore/i: Falone, R.; Chichiarelli, P.I.; Gambi, E.; Spinsante, S.
Editore: Springer Verlag
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/234166 Collegamento a IRIS

2015 A Large Set of Secure Signatures for DS-SS Long Range Radars in Autonomous Cars
WSEAS TRANSACTIONS ON COMMUNICATIONS
Autore/i: Sarayloo, Mahdiyar; Gambi, Ennio; Spinsante, Susanna
Classificazione: 1 Contributo su Rivista
Abstract: The current trend in the use of ICT to boost the development of the automotive sector is mainly ad- dressed towards so called autonomous vehicles, equipped with appropriate sensors, actuators and processors, that make them able to move safely, without the intervention of a human driver. Actually, since several years, ICT permitted a widespread implementation of systems to help the driver maintaining the control of the vehicle, even when exceeding its normal limits of handling. Among them, vehicle radars may work under all weather conditions, provide a satisfactory coverage, and see several meters ahead. This paper investigates the performance, in terms of detection capability and false detection rate, of Direct Sequence Spread Spectrum Long Range Radars adopt- ing binary De Bruijn sequences as radar signatures, compared to more classical solutions adopting Gold codes. Following the analysis of the correlation and security properties of De Bruijn sequences, the radar detection per- formance are discussed in two typical scenarios, and by means of specific tools, such as the ambiguity function to account for Doppler effects. Even if De Bruijn sequences do not provide disruptive improvements with respect to Gold codes, they exhibit better behavior in the presence of Doppler, and a much greater cardinality of their set, at a parity of the length, which may be useful to accommodate many potential users in a vehicular scenario.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/230154 Collegamento a IRIS

2015 Full-length non-linear binary sequences with Zero Correlation Zone for multiuser communications
INTERNATIONAL JOURNAL OF COMMUNICATION NETWORKS AND INFORMATION SECURITY
Autore/i: Sarayloo, M.; Gambi, E.; Spinsante, S.
Classificazione: 1 Contributo su Rivista
Abstract: The research on new sets of sequences that can be applied as spreading codes in multiple user communications is still an active area, even if this topic has been extensively investigated since long time. In fact, new communication paradigms like dense and decentralized wireless networks, where there is no central controller to assign the resources to the nodes, are revamping the interest on finding large sets of sequences providing adequate correlation properties to support a big number of nodes, in potentially hostile channels. This paper focuses on the Zero Correlation Zone (ZCZ) property exhibited by a family of nonlinear binary sequences featuring a great cardinality of their set, and good security-related features, and provides evidence of their suitability to multiuser communications, in channels affected by multipath.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/234165 Collegamento a IRIS

2015 Validation of an optimized algorithm to use Kinect in a non-structured environment for Sit-to-Stand analysis.
2015 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
Autore/i: Cippitelli, Enea; Gasparrini, Samuele; Spinsante, Susanna; Gambi, Ennio; Verdini, Federica; Burattini, Laura; Di Nardo, Francesco; Fioretti, Sandro
Editore: IEEE
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: The aim of this work is to obtain reliable kinematic measures relative to the execution of the Sit-to-Stand functional evaluation test, by low-cost and widely diffused instrumentation, that even non-experienced users can adopt in non-structured environments, like ambulatory or domestic settings. In particular, the paper refers to a low cost RGB-Depth sensor widely used in the gaming scenario like the Microsoft Kinect sensor. An algorithm is proposed that allows a reliable measure of human motion in a sagittal view. The performance of the proposed algorithm is compared to other two classic commercial algorithms. Results obtained by all the three algorithms have been compared to kinematic results obtained by the use of a stereophotogrammetric system that represents the gold-standard for kinematic measurement of human movement. Average errors of about 4 degrees, both for the trunk/leg angle and for the knee flexion/extension angle, have been obtained by the proposed algorithm and open the way to its possible adoption in non-clinical environments and further applications.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/230156 Collegamento a IRIS

2015 A Large Set of Orthogonal Codes for the V2V Scenario
Proceedings of the 2014 International Conference on Connected Vehicles and Expo (ICCVE)
Autore/i: Sarayloo, Mahdiyar; Gambi, Ennio; Spinsante, Susanna
Editore: IEEE Publisher
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: This paper investigates the use of binary De Bruijn sequences as vehicle signatures in a vehicular CDMA communication framework, over Rayleigh and Weibull distributed fading channels. Orthogonal De Bruijn codes are able to outperform Orthogonal Variable Spreading Factor sequences, whereas it is shown that their inherent Zero Correlation Zone does not provide any significant advantages in the presence of severe fading.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/226951 Collegamento a IRIS

2015 Comparison of RGB-D Mapping Solutions for Application to Food Intake Monitoring
Ambient Assisted Living: Italian Forum 2014
Autore/i: Cippitelli E.; Gasparrini S.; De Santis A.; Montanini L.; Raffaeli L.; Gambi E.; Spinsante S.
Editore: Springer International Publishing Switzerland 2015
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Food intake behaviours are strictly correlated to health, especially for elderly people. Dietary habits monitoring is one of the most challenging activity for researchers in AAL scenario. RGB-D sensors, such as Kinect, provide multiple useful data to perform behavioural analysis in an unobtrusive way. Unfortunately, when using the Kinect sensor, depth and RGB data are not available with the same point of view, and a mapping algorithm is required in order to associate a 3D point to the same pixel in both the RGB and depth frames. In this paper, some techniques for RGB-D mapping of Kinect sensor data are compared, and a proposed implementation is described. Some experimental results in specific conditions are finally provided.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/183702 Collegamento a IRIS

2015 Depth Stream Compression for Enhanced Real Time Fall Detection by Multiple Sensors
Proceedings 2014 IEEE Fourth International Conference on Consumer Electronics - Berlin (ICCE-Berlin)
Autore/i: Cippitelli E.; Gasparrini S.; Gambi E.; Spinsante S.
Editore: IEEE / Institute of Electrical and Electronics Engineers Incorporated:445 Hoes Lane:Piscataway, NJ 08854:(800)701-4333, (732)981-0060, EMAIL: subscription-service@ieee.org, INTERNET: http://www.ieee.org, Fax: (732)981-9667
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/184902 Collegamento a IRIS

2015 A new approach to sequence construction with good correlation by particle swarm optimization
JOURNAL OF COMMUNICATION SOFTWARE AND SYSTEMS
Autore/i: Sarayloo, Mahdiyar; Gambi, Ennio; Spinsante, Susanna
Classificazione: 1 Contributo su Rivista
Abstract: In this paper, a novel computationally affordable method to generate long binary sequences featuring desiredproperties is presented, based on the use of a number of shorter non linear binary sub-sequences. The paper shows therelationship of the Auto- and Cross-Correlation (AC, CC) of the generated long binary sequences with the AC and CC ofconstituent sub-sequences. It is also shown that the starting bit position of sub-sequences has an important role on AC andCC of the generated sequences. To generate the optimal long binary sequence from correlation points of view, Particle SwarmOptimization (PSO) algorithm is employed. All the techniques stated in the literature to improve the PSO are implemented andit is clearly shown that the constriction factor and the variable population size turn out to have a great impact on minimizing thefitness function (RMS of AC) representing the target Correlation properties expected for the resulting long sequence. Possibleapplication scenarios for the long sequences generated by the proposed method are also discussed and evaluated.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/234164 Collegamento a IRIS

2015 NFC-Based User Interface for Smart Environments
ADVANCES IN HUMAN-COMPUTER INTERACTION
Autore/i: Spinsante, Susanna; Gambi, Ennio
Classificazione: 1 Contributo su Rivista
Abstract: The physical support of a home automation system, joined with a simplified user-system interaction modality, may allow people affected by motor impairments or limitations, such as elderly and disabled people, to live safely and comfortably at home, by improving their autonomy and facilitating the execution of daily life tasks.The proposed solution takes advantage of the Near Field Communications technology,which is simple and intuitive to use, to enable advanced user interaction.The user can performnormal daily activities, such as lifting a gate or closing a window, through a device enabled to read NFC tags containing the commands for the home automation system. A passive Smart Panel is implemented, composed of multiple Near Field Communications tags properly programmed, to enable the execution of both individual commands and so-called scenarios.The work compares several versions of the proposed Smart Panel, differing for interrogation and composition of the single command, number of tags, and dynamic user interactionmodel, at a parity of the number of commands to issue.Main conclusions are drawn fromthe experimental results, about the effective adoption of Near Field Communications in smart assistive environments.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/227684 Collegamento a IRIS

2015 Kinect as a tool for gait analysis: Validation of a real-time joint extraction algorithm working in side view
SENSORS
Autore/i: Cippitelli, Enea; Gasparrini, Samuele; Gambi, Ennio; Spinsante, Susanna
Classificazione: 1 Contributo su Rivista
Abstract: The Microsoft Kinect sensor has gained attention as a tool for gait analysis for several years. Despite the many advantages the sensor provides, however, the lack of a native capability to extract joints from the side view of a human body still limits the adoption of the device to a number of relevant applications. This paper presents an algorithm to locate and estimate the trajectories of up to six joints extracted from the side depth view of a human body captured by the Kinect device. The algorithm is then applied to extract data that can be exploited to provide an objective score for the "Get Up and Go Test", which is typically adopted for gait analysis in rehabilitation fields. Starting from the depth-data stream provided by the Microsoft Kinect sensor, the proposed algorithm relies on anthropometric models only, to locate and identify the positions of the joints. Differently from machine learning approaches, this solution avoids complex computations, which usually require significant resources. The reliability of the information about the joint position output by the algorithm is evaluated by comparison to a marker-based system. Tests show that the trajectories extracted by the proposed algorithm adhere to the reference curves better than the ones obtained from the skeleton generated by the native applications provided within the Microsoft Kinect (Microsoft Corporation, Redmond, WA, USA, 2013) and OpenNI (OpenNI organization, Tel Aviv, Israel, 2013) Software Development Kits.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/226832 Collegamento a IRIS

2014 A Depth-Based Joints Estimation Algorithm for Get Up and Go Test Using Kinect
Proc. IEEE International Conference on Consumer Electronics (ICCE 2014)
Autore/i: Cippitelli, Enea; Gasparrini, Samuele; Gambi, Ennio; Spinsante, Susanna
Editore: IEEE / Institute of Electrical and Electronics Engineers Incorporated:445 Hoes Lane:Piscataway, NJ 08854:(800)701-4333, (732)981-0060, EMAIL: subscription-service@ieee.org, INTERNET: http://www.ieee.org, Fax: (732)981-9667
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/143279 Collegamento a IRIS

2014 De Bruijn spreading sequences for dense CDMA-based WSNs
Proceedings of 2014 European Conference on Networks and Communications (EuCNC)
Autore/i: Sarayloo, Mahdiyar; Gambi, Ennio; Spinsante, Susanna
Editore: IEEE / Institute of Electrical and Electronics Engineers Incorporated:445 Hoes Lane:Piscataway, NJ 08854:(800)701-4333, (732)981-0060, EMAIL: subscription-service@ieee.org, INTERNET: http://www.ieee.org, Fax: (732)981-9667
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/182307 Collegamento a IRIS

2014 SDR GNSS Receivers: a Comparative Overview of Different Approaches
Proc. IEEE Int. Workshop on Metrology for Aerospace
Autore/i: Falone R.; Stallo C.; Gambi E.; Spinsante S.
Editore: IEEE / Institute of Electrical and Electronics Engineers Incorporated:445 Hoes Lane:Piscataway, NJ 08854:(800)701-4333, (732)981-0060, EMAIL: subscription-service@ieee.org, INTERNET: http://www.ieee.org, Fax: (732)981-9667
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/176112 Collegamento a IRIS

2014 Interoperability issues among smart home technological frameworks
Proc. of 2014 IEEE/ASME 10th International Conference on Mechatronic and Embedded Systems and Applications (MESA)
Autore/i: Rossi, L.; Belli, A.; De Santis, A.; Diamantini, C.; Frontoni, E.; Gambi, E.; Palma, L.; Pernini, L.; Pierleoni, P.; Potena, D.; Raffaeli, L.; Spinsante, S.; Zingaretti, P.; Cacciagrano, D.; Corradini, F.; Culmone, R.; De Angelis, F.; Merelli, E.; Re, B.
Editore: IEEE / Institute of Electrical and Electronics Engineers Incorporated:445 Hoes Lane:Piscataway, NJ 08854:(800)701-4333, (732)981-0060, EMAIL: subscription-service@ieee.org, INTERNET: http://www.ieee.org, Fax: (732)981-9667
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/193504 Collegamento a IRIS

2014 Automatic Drowsiness Detection Through Visual Analysis for Mobile Android Devices
Proceedings of the International Workshop on Mobile Networks for Biometric Data Analysis (mBiDA)
Autore/i: Montanini L.; Gambi E.; Spinsante S.
Editore: Massimo Conti, Simone Orcioni, N. Mart´ınez Madrid, R. Seepold
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/193702 Collegamento a IRIS

2014 Real Time Message Composition Through Head Movements on Portable Android Devices
Proc. IEEE International Conference on Consumer Electronics (ICCE 2014)
Autore/i: Montanini L.; Cippitelli E.; Gambi E.; Spinsante S.
Editore: IEEE / Institute of Electrical and Electronics Engineers Incorporated:445 Hoes Lane:Piscataway, NJ 08854:(800)701-4333, (732)981-0060, EMAIL: subscription-service@ieee.org, INTERNET: http://www.ieee.org, Fax: (732)981-9667
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/143278 Collegamento a IRIS

2014 Improved UWB Radar Signal Processing for the Extraction of Vital Parameters
Ambient Assisted Living. Italian Forum 2013.
Autore/i: PELLICCIONI, GIOVANNI; SPINSANTE, Susanna; GAMBI, Ennio
Editore: Springer International Publishing Switzerland
Classificazione: 2 Contributo in Volume
Abstract: The availability of contactless sensors capable of detecting vital parameters is of particular interest, especially when it is requested to ensure the patient’s freedom of movement, or when the patient’s physical conditions do not allow the application of sensing devices on the skin. Thanks to its characteristics of high spatial resolution and tissues penetration, an UltraWide Band radar system can be used for the measurement of respiratory and heart rates of hospitalized patients. As typical of radar systems, however, the useful echo is superimposed to a multiplicity of unwanted echoes, due to reflection by obstacles, normally fixed, that may be present in the environment considered. Among the various techniques proposed in the literature, this work presents an enhanced processing of the signal received by an Ultra Wide Band radar, in the presence of static echoes, the magnitude of which may be also considerably higher than the level of the signals reflected by the target. The simulation results show the effectiveness of the proposed processing method, and its sensitivity to the radar system design parameters.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/175102 Collegamento a IRIS

2014 Smart TV based ecosystem for personal e-health services
Proc. of 8th International Symposium on Medical Information and Communication Technology
Autore/i: Raffaeli L.; Gambi E.; Spinsante S.
Editore: IEEE / Institute of Electrical and Electronics Engineers Incorporated:445 Hoes Lane:Piscataway, NJ 08854:(800)701-4333, (732)981-0060, EMAIL: subscription-service@ieee.org, INTERNET: http://www.ieee.org, Fax: (732)981-9667
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/175106 Collegamento a IRIS

2014 De Bruijn Sequences as Zero Correlation Zone Codes for Satellite Navigation Systems
Proc. International Conference on Telecommunications 2014
Autore/i: Sarayloo, Mahdiyar; Gambi, Ennio; Spinsante, Susanna
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/165904 Collegamento a IRIS

2014 Quality of Kinect Depth Information for Passive Posture Monitoring
Ambient Assisted Living. Italian Forum 2013.
Autore/i: Cippitelli E.; Gasparrini S.; Gambi E.; Spinsante S.
Editore: Springer International Publishing Switzerland
Classificazione: 2 Contributo in Volume
Abstract: The availability of a low cost device incorporating RGB and depth sensors, such as the Microsoft Kinect device, has enabled a plethora of applications and solutions aiming at automatic monitoring of gait and posture, in order to assess the subject’s behavior and possibly prevent future health problems. This paper discusses the quality of the information provided by the depth sensor the Kinect device is equipped with, in order to assess the precision of such information, in different operational contexts, and properly identify the performance that may be reasonably expected from the adoption of such device, in the field of passive monitoring of gait and posture. Some techniques borrowed from the image processing field are also suggested, in order to improve the depth information in specific conditions, by means of a low complexity post-processing of the raw depth data.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/175104 Collegamento a IRIS

2014 A simple object for elderly vitality monitoring: The smart insole
Proc. of 2014 IEEE/ASME 10th International Conference on Mechatronic and Embedded Systems and Applications (MESA)
Autore/i: DE SANTIS, Adelmo; Gambi, Ennio; Montanini, Laura; Raffaeli, Laura; Spinsante, Susanna; Rascioni, Giorgio
Editore: IEEE / Institute of Electrical and Electronics Engineers Incorporated:445 Hoes Lane:Piscataway, NJ 08854:(800)701-4333, (732)981-0060, EMAIL: subscription-service@ieee.org, INTERNET: http://www.ieee.org, Fax: (732)981-9667
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/193503 Collegamento a IRIS

2014 Wireless M-Bus Sensor Networks for Smart Water Grids: Analysis and Results
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS
Autore/i: Spinsante, Susanna; Squartini, Stefano; Gabrielli, Leonardo; M., Pizzichini; Gambi, Ennio; Piazza, Francesco
Classificazione: 1 Contributo su Rivista
Abstract: Wireless sensor network technologies are experiencing an impressive development, as they represent one of the building blocks upon which new paradigms, such as Internet of Things and Smart Cities, may be implemented. Among the different applications enabled by such technologies, automatic monitoring of the water grid, and smart metering of water consumptions, may have a great impact on the preservation of one of the most valued, and increasingly scarce, natural resources. Sensor nodes located along water pipes cannot rely on the availability of power grid facilities to get the necessary energy imposed by their working conditions. In this sense, an energy-efficient design of the network architecture, and the evaluation of Energy Harvesting techniques to sustain its nodes, becomes of paramount importance. This paper investigates the suitability of a Wireless Metering Bus-based solution for the implementation of smart water grids, by evaluating network and node related performance, through simulations, prototype design, and experimental tests, which confirm the feasibility and efficiency of the proposal.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/171903 Collegamento a IRIS

2014 A Depth-Based Fall Detection System Using a Kinect Sensor
SENSORS
Autore/i: Gasparrini, S.; Cippitelli, E.; Spinsante, Susanna; Gambi, Ennio
Classificazione: 1 Contributo su Rivista
Abstract: We propose an automatic, privacy-preserving, fall detection method for indoor environments, based on the usage of the Microsoft Kinect® depth sensor, in an “on-ceiling” configuration, and on the analysis of depth frames. All the elements captured in the depth scene are recognized by means of an Ad-Hoc segmentation algorithm, which analyzes the raw depth data directly provided by the sensor. The system extracts the elements, and implements a solution to classify all the blobs in the scene. Anthropometric relationships and features are exploited to recognize one or more human subjects among the blobs. Once a person is detected, he is followed by a tracking algorithm between different frames. The use of a reference depth frame, containing the set-up of the scene, allows one to extract a human subject, even when he/she is interacting with other objects, such as chairs or desks. In addition, the problem of blob fusion is taken into account and efficiently solved through an inter-frame processing algorithm. A fall is detected if the depth blob associated to a person is near to the floor. Experimental tests show the effectiveness of the proposed solution, even in complex scenarios.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/144685 Collegamento a IRIS

2013 Real Time Face Detection and Tracking on Android Devices for Message Composition
ATTI DEL 4° FORUM ITALIANO PER L'AMBIENT ASSISTED LIVING
Autore/i: Montanini L.; Gambi E.; Spinsante S.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/138067 Collegamento a IRIS

2013 Analysis of Spreading Codes in Conjunction with Ambiguity Function for Inter Vehicular Communication
2013 IEEE Vehicular Technology Conference (VTC Fall)
Autore/i: Spinsante, Susanna; Gambi, Ennio; Warty, C.; Mattigiri, S.; Wai Yu, R.
Editore: Institute of Electrical and Electronic Engineers, Inc.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: This paper discusses the possible application of a particular family of binary sequences, the De Bruijn ones, as spreading codes in a vehicular scenario, by evaluating their performance according to different analytical tools. In an unfriendly environment, such as the vehicular one, that poses several constraints on transmission techniques for their reliability, it might be useful to have a wide set of sequences to allocate different users, in order to ensure low Inter User Interference. If needed, the same spreading sequences can also be used as radar signatures for anti-collision applications, in a highly mobile environment. The simulations show that the proposed spreading sequence set provides adequate performance, comparable to those of more traditional sets, with the advantage of greater cardinality.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/115072 Collegamento a IRIS

2013 Spreading Codes for Multiuser Estimation in Non Coherent and Non Cooperative Environments
Proceedings of the 9th IEEE IWCMC
Autore/i: Warty C.; Mattigiri S.; Yu R.; Gambi E.; Spinsante S.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: The need for a more efficient and reliable use of available radio resources has led to the developement of Spread Spectrum based communication networks, like WCDMA. Even though the Spread Spectrum signals are inherently robust, and provide significant level of security, it has been shown that the use of interference suppression techniques can result in a substantial performance improvement. This paper proposes an overview of interference suppression techniques used in combination with different sets of spreading codes. The focus of the paper is on Direct Sequence SS systems, and on the choice of proper spreading codes, in a blind asynchronous environment. Particular attention is devoted to analyzing the performance of spreading codes based on their cross correlation properties, in a multiple users scenario. Eigenvalue estimation and Maximum Likelihood estimation techniques are used to evaluate the robustness of the system, in the presence of Additive White Gaussian Noise.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/109262 Collegamento a IRIS

2013 De Bruijn Sequences as Spreading Codes in Extreme Doppler Conditions: Analysis and Results
Proc. of IEEE International Conference on Wireless for Space and Extreme Environments
Autore/i: Pelliccioni, Giovanni; Gambi, Ennio; Spinsante, Susanna
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/138064 Collegamento a IRIS

2013 Secured Scrambling Codes for Vehicular Control and Navigation
Proceedings of the 2013 International Conference on Connected Vehicles and Expo
Autore/i: Warty, C.; Gambi, Ennio; Spinsante, Susanna
Editore: IEEE / Institute of Electrical and Electronics Engineers Incorporated:445 Hoes Lane:Piscataway, NJ 08854:(800)701-4333, (732)981-0060, EMAIL: subscription-service@ieee.org, INTERNET: http://www.ieee.org, Fax: (732)981-9667
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/138662 Collegamento a IRIS

2013 Evaluation and Possible Improvements of the ANT Protocol for Home Heart Monitoring Applications
Proceedings of the 2013 IEEE International Workshop on Measurements and Networking
Autore/i: Gasparrini S.; Gambi E.; Spinsante S.
Editore: IEEE / Institute of Electrical and Electronics Engineers Incorporated:445 Hoes Lane:Piscataway, NJ 08854:(800)701-4333, (732)981-0060, EMAIL: subscription-service@ieee.org, INTERNET: http://www.ieee.org, Fax: (732)981-9667
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: This paper evaluates the use of the wireless ANT protocol as a possible technology to implement a heart monitoring solution for the remote management of patients at their home premises.With respect to common commercial solutions, in which the ANT transceiver transmits single heart rate values, this paper investigates the suitability of the protocol for the transmission of complete ECG traces, which could be a useful feature in the framework of a remote health monitoring solution. Further, a frequency agility capability is also implemented, in order to reduce the impact of RF interferers working in the ISM band, and to improve the ECG transmission performance of the ANT device.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/121462 Collegamento a IRIS

2013 De Bruijn Sequences as Secure Spreading Codes for Wireless Communications
Proceedings of ICACCI 2013
Autore/i: Warty, C.; Mattigiri, S.; Gambi, Ennio; Spinsante, Susanna
Editore: IEEE / Institute of Electrical and Electronics Engineers Incorporated:445 Hoes Lane:Piscataway, NJ 08854:(800)701-4333, (732)981-0060, EMAIL: subscription-service@ieee.org, INTERNET: http://www.ieee.org, Fax: (732)981-9667
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/112554 Collegamento a IRIS


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