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Susanna SPINSANTE

Pubblicazioni

Susanna SPINSANTE

 

206 pubblicazioni classificate nel seguente modo:

Nr. doc. Classificazioni
132 4 Contributo in Atti di Convegno (Proceeding)
50 1 Contributo su Rivista
19 2 Contributo in Volume
5 5 Altro
Anno Risorsa
Accuracy of Heart Rate Measurements by a Smartwatch in Low Intensity Activities
Proceedings of the 2019 IEEE International Symposium on Medical Measurements & Applications (MeMeA)
Autore/i: Spinsante, Susanna; Porfiri, Sara; Scalise, Lorenzo
Editore: IEEE I&M Society
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/265004 Collegamento a IRIS

A Simple sEMG-Based Measure of Muscular Recruitment Variability During Pediatric Walking
Proceedings of the 2019 IEEE International Symposium on Medical Measurements & Applications (MeMeA)
Autore/i: Spinsante, Susanna; DI NARDO, Francesco; Strazza, Annachiara; Verdini, Federica; Poli, Angelica
Editore: IEEE I&M Society
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/265005 Collegamento a IRIS

2019 User Environment Detection with Acoustic Sensors Embedded on Mobile Devices for the Recognition of Activities of Daily Living
STATISTICS, OPTIMIZATION & INFORMATION COMPUTING
Autore/i: Pires, Ivan Miguel; Garcia, Nuno M; Pombo, Nuno; Flórez-Revuelta, Francisco; Spinsante, Susanna; Teixeira, Maria Canavarro; Zdravevski, Eftim
Classificazione: 1 Contributo su Rivista
Abstract: The detection of the environment where the user is located is of extreme use for the identification of Activities of Daily Living (ADL). ADL can be identified by use of the sensors available in many off-the-shelf mobile devices, including magnetic and motion, and the environment can be also identified using acoustic sensors. The main objective of this study is to recognize the environments and some standing ADL to include in the development of a framework for the recognition of ADL and its environments. The study presented in this paper is divided in two parts: firstly, we discuss the recognition of the environment using acoustic sensors (i.e., microphone), and secondly, we fuse this information with motion and magnetic sensors (i.e., motion and magnetic sensors) for the recognition of standing ADL. The recognition of the environments and the ADL are performed using pattern recognition techniques, in order to develop a system that includes data acquisition, data processing, data fusion, and classification methods. The classification methods explored in this study are composed by different types of Artificial Neural Networks (ANN), comparing the different types of ANN and selecting the best methods to implement in the different stages of the system developed. Conclusions point to the use of Deep Neural Networks (DNN) with normalized data for the identification of ADL with 85.89% of accuracy, the use of Feedforward Neural Networks (FNN) with non-normalized data for the identification of the environments with 86.50% of accuracy, and the use of DNN method with normalized data for the identification of standing activities with 100% of accuracy.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/263480 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 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 Software Tool for Quick Codes Analysis and Selection in Spread Spectrum Communication Systems
ELECTRICAL & COMPUTER ENGINEERING
Autore/i: Sarayloo, Mahdiyar; Spinsante, Susanna
Classificazione: 1 Contributo su Rivista
Abstract: Spread spectrum communications rely on the selection of suitable sets of so-called spreading codes, also known as signatures, to ensure satisfactory system performance. Comparing different sets of spreading codes may be not a straightforward process, due to the amount of different code-related parameters that should be taken into account, and to the inherent differences in the codes generation algorithms. This paper presents a practical software tool to facilitate the evaluation and comparison of different families of spreading codes, under different parameters and constraints. Simulations to evaluate the selected signatures in a CDMA system, under AWGN or multipath channel, are also supported by the tool. The tool may be usefully applied in the design of communication systems and networks relying upon spread spectrum techniques.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/259175 Collegamento a IRIS

2019 A Swept-Sine Pulse Compression Procedure for an Effective Measurement of Intermodulation Distortion
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
Autore/i: Burrascano, Pietro; Laureti, Stefano; Ricci, Marco; Terenzi, Alessandro; Cecchi, Stefania; Spinsante, Susanna; Piazza, Francesco
Classificazione: 1 Contributo su Rivista
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/265697 Collegamento a IRIS

2019 A novel experimental-based tool for the design of LoRa networks
Proceedings of the 2019 IEEE International Workshop on Metrology for Industry 4.0 and IoT
Autore/i: Spinsante, Susanna; Gioacchini, Luca; Scalise, Lorenzo
Editore: IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/265006 Collegamento a IRIS

2019 A novel approach for measuring treeline spatial complexity
1st Workshop on Metrology for Agriculture and Forestry, METROAGRIFOR 2018
Autore/i: Spinsante, S.; Montalto, L.; Garbarino, M.; Malandra, F.; Weisberg, P. J.; Paone, N.; Scalise, L.
Editore: Institute of Physics Publishing
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Treelines, defined as ecotonal zones between closed forest and the uppermost trees, are particularly sensitive to global changes related to climate and anthropic activities. Different mechanisms of treeline formation can be detected as subtle differences in ecotonal structure, which in turn have important implications for how treelines function and potentially respond to global changes. So, it is of interest to be able to measure in a precise and quantitative way treelines' properties reflecting climate and land use changes. Classical tools adopted to measure treeline spatial patterns are not able to fully understand the limiting factors affecting them. This work presents a novel textural analysis of treeline spatial structure based on the measurement of surface roughness, and applies the corresponding metrics to twenty study areas at both Upper and Lower treelines, where all tree crowns have been mapped at high precision. Preliminary results are promising and motivate future and more extensive evaluations on bigger datasets.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/266629 Collegamento a IRIS

2019 Multi-sensor platform for real time measurements of honey bee hive parameters
IOP Conference Series: Earth and Environmental Science
Autore/i: Cecchi, S.; Terenzi, A.; Orcioni, S.; Spinsante, S.; Mariani Primiani, V.; Moglie, F.; Ruschioni, S.; Mattei, C.; Riolo, P.; Isidoro, N.
Editore: Institute of Physics Publishing
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/266895 Collegamento a IRIS

2019 Issues on Uncertainty to Train Positioning in Hybridized-GNSS Approaches
Proceedings of the 2019 IEEE International Workshop on Metrology for Aerospace
Autore/i: Spinsante, Susanna; Stallo, Cosimo
Editore: IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/265371 Collegamento a IRIS

2018 Recognition of activities of daily living based on environmental analyses using audio fingerprinting techniques: A systematic review
SENSORS
Autore/i: Pires, Ivan Miguel; Santos, Rui; Pombo, Nuno; Nuno M., Garcia; Flórez-Revuelta, Francisco; Spinsante, Susanna; Goleva, Rossitza; Zdravevski, Eftim
Classificazione: 1 Contributo su Rivista
Abstract: An increase in the accuracy of identification of Activities of Daily Living (ADL) is very important for different goals of Enhanced Living Environments and for Ambient Assisted Living (AAL) tasks. This increase may be achieved through identification of the surrounding environment. Although this is usually used to identify the location, ADL recognition can be improved with the identification of the sound in that particular environment. This paper reviews audio fingerprinting techniques that can be used with the acoustic data acquired from mobile devices. A comprehensive literature search was conducted in order to identify relevant English language works aimed at the identification of the environment of ADLs using data acquired with mobile devices, published between 2002 and 2017. In total, 40 studies were analyzed and selected from 115 citations. The results highlight several audio fingerprinting techniques, including Modified discrete cosine transform (MDCT), Mel-frequency cepstrum coefficients (MFCC), Principal Component Analysis (PCA), Fast Fourier Transform (FFT), Gaussian mixture models (GMM), likelihood estimation, logarithmic moduled complex lapped transform (LMCLT), support vector machine (SVM), constant Q transform (CQT), symmetric pairwise boosting (SPB), Philips robust hash (PRH), linear discriminant analysis (LDA) and discrete cosine transform (DCT).
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/252586 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 Guest Editorial: Computer vision in healthcare and assisted living
IET COMPUTER VISION
Autore/i: Flórez-Revuelta, Francisco; Chaaraoui, Alexandros Andre; Makris, Dimitrios; Mirmehdi, Majid; Spinsante, Susanna
Classificazione: 1 Contributo su Rivista
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/253652 Collegamento a IRIS

2018 IoT-Enabled Smart Gas and Water Grids: from Communication Protocols to Data Analysis
Internet of Things: Challenges, Advances, and Applications
Autore/i: Susanna, Spinsante; Stefano, Squartini; Paola, Russo; Adelmo De Santis, ; Marco, Severini; Marco, Fagiani; Valentina Di Mattia, ; Roberto, Minerva
Editore: Chapman and Hall / CRC Computer and Information Science Series
Classificazione: 2 Contributo in Volume
Abstract: Internet of Things (IoT) has become an enabling technology in a huge number of diverse domains, including smart manufacturing, health, and cities. The latter encompasses cyber-physical infrastructures able to improve the citizens’ quality of life in a broader sense, including so-called smart grids (for water, natural gas, energy delivery). This chapter highlights the challenges and possible solutions related to the IoT-oriented design and deployment of smart water and gas grids, and unveils the potentially disruptive impact data analytics and machine learning could have in their management, and in consumption forecasting. The chapter reviews both capillary networks, and future opportunities provided by cellular IoT, as communication infrastructures. Open issues in network planning for smart metering applications, from an electromagnetic perspective, are also discussed, and supported by experimental evaluations. A thorough review of the state-of-the-art literature in the field of machine learning for leakage detection and consumption forecasting concludes the chapter.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/252825 Collegamento a IRIS

2018 Android Library for Recognition of Activities of Daily Living: Implementation Considerations, Challenges, and Solutions
THE OPEN BIOINFORMATICS JOURNAL
Autore/i: Pires, Ivan Miguel; Teixeira, Maria Canavarro; Pombo, Nuno; Garcia, Nuno M.; Flórez-Revuelta, Francisco; Spinsante, Susanna; Goleva, Rossitza; Zdravevski, Eftim
Classificazione: 1 Contributo su Rivista
Abstract: Background: Off-the-shelf-mobile devices have several sensors available onboard that may be used for the recognition of Activities of Daily Living (ADL) and the environments where they are performed. This research is focused on the development of Ambient Assisted Living (AAL) systems, using mobile devices for the acquisition of the different types of data related to the physical and physiological conditions of the subjects and the environments. Mobile devices with the Android Operating Systems are the least expensive and exhibit the biggest market while providing a variety of models and onboard sensors. Objective: This paper describes the implementation considerations, challenges and solutions about a framework for the recognition of ADL and the environments, provided as an Android library. The framework is a function of the number of sensors available in different mobile devices and utilizes a variety of activity recognition algorithms to provide a rapid feedback to the user. Methods: The Android library includes data fusion, data processing, features engineering and classification methods. The sensors that may be used are the accelerometer, the gyroscope, the magnetometer, the Global Positioning System (GPS) receiver and the microphone. The data processing includes the application of data cleaning methods and the extraction of features, which are used with Deep Neural Networks (DNN) for the classification of ADL and environment. Throughout this work, the limitations of the mobile devices were explored and their effects have been minimized. Results: The implementation of the Android library reported an overall accuracy between 58.02% and 89.15%, depending on the number of sensors used and the number of ADL and environments recognized. Compared with the results available in the literature, the performance of the library reported a mean improvement of 2.93%, and they do not differ at the maximum found in prior work, that based on the Student’s t-test. Conclusion: This study proves that ADL like walking, going upstairs and downstairs, running, watching TV, driving, sleeping and standing activities, and the bedroom, cooking/kitchen, gym, classroom, hall, living room, bar, library and street environments may be recognized with the sensors available in off-the-shelf mobile devices. Finally, these results may act as a preliminary research for the development of a personal digital life coach with a multi-sensor mobile device commonly used daily.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/259170 Collegamento a IRIS

2018 Identification of activities of daily living through data fusion on motion and magnetic sensors embedded on mobile devices
PERVASIVE AND MOBILE COMPUTING
Autore/i: Pires, Ivan Miguel; Garcia, Nuno M.; Pombo, Nuno; Flórez-Revuelta, Francisco; Spinsante, Susanna; Teixeira, Maria Canavarro
Classificazione: 1 Contributo su Rivista
Abstract: Several types of sensors have been available in off-the-shelf mobile devices, including motion, magnetic, vision, acoustic, and location sensors. This paper focuses on the fusion of the data acquired from motion and magnetic sensors, i.e., accelerometer, gyroscope and magnetometer sensors, for the recognition of Activities of Daily Living (ADL). Based on pattern recognition techniques, the system developed in this study includes data acquisition, data processing, data fusion, and classification methods like Artificial Neural Networks (ANN). Multiple settings of the ANN were implemented and evaluated in which the best accuracy obtained, with Deep Neural Networks (DNN), was 89.51%. This novel approach applies L2 regularization and normalization techniques on the sensors’ data proved it suitability and reliability for the ADL recognition.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/258875 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 Measurement of Elderly Daily Physical Activity by Unobtrusive Instrumented Shoes
Proceedings of the 2018 IEEE International Symposium on Medical Measurements and Applications
Autore/i: Spinsante, Susanna; Scalise, Lorenzo
Editore: IEEE
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/258885 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 Privacy-Aware and Acceptable Lifelogging services for older and frail people: the PAAL project
Proceedings of 2018 IEEE 8th International Conference on Consumer Electronics - Berlin (ICCE-Berlin)
Autore/i: Florez-Revuelta, Francisco; Mihailidis, Alex; Ziefle, Martina; Colonna, Liane; Spinsante, Susanna
Editore: IEEE Computer Society
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/259664 Collegamento a IRIS

2018 Contactless Measurement of Heart Rate for Exergames Applications
Proceedings of the 2018 IEEE International Symposium on Medical Measurements and Applications
Autore/i: Spinsante, Susanna; Ricciuti, Manola; Scalise, Lorenzo
Editore: IEEE I&M Society
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/258884 Collegamento a IRIS

2018 PRBS Selection for Velocity Measurements with Compressive Sampling-Based DS-CDMA Radio Navigation Receivers
Proceedings of the 5th IEEE International Workshop on Metrology for Aerospace, 2018
Autore/i: Daponte, Pasquale; De Vito, Luca; Iadarola, Grazia; Spinsante, Susanna
Editore: IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/258886 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

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 Approach for the Development of a Framework for the Identification of Activities of Daily Living Using Sensors in Mobile Devices
SENSORS
Autore/i: Pires, Ivan; Garcia, Nuno; Pombo, Nuno; Flórez-Revuelta, Francisco; Spinsante, Susanna
Classificazione: 1 Contributo su Rivista
Abstract: Sensors available on mobile devices allow the automatic identification of Activities of Daily Living (ADL). This paper describes an approach for the creation of a framework for the identification of ADL, taking into account several concepts, including data acquisition, data processing, data fusion, and pattern recognition. These concepts can be mapped onto different modules of the framework. The proposed framework should perform the identification of ADL without Internet connection, performing these tasks locally on the mobile device, taking in account the hardware and software limitations of these devices. The main purpose of this paper is to present a new approach for the creation of a framework for the recognition of ADL, analyzing the allowed sensors available in the mobile devices, and the existing methods available in the literature.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/253925 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 Depth-Based Fall Detection: Outcomes from a Real Life Pilot
Atti del 9° Forum Italiano Ambient Assisted Living
Autore/i: Spinsante, Susanna; Fagiani, Marco; Severini, Marco; Squartini, Stefano; Ellmenreich, Friedrich; Martelli, Giusy
Editore: Springer Verlag
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: With the increasing ageing population representing a challenge for society and health care systems, solutions based on ICT to prolong the independent living of older adults become critical. Among them, systems able to automatically detect falls are being investigated since several years, because many solutions that appear promising when tested in lab settings, fail when faced with the constraints and unforeseen circumstances of real deployments. In this paper, we present the outcomes resulting from the pilot installation of a fall detection system based on the use of depth sensors located on the ceiling of the monitored apartment, where a 75 years old woman lives alone. We highlight the system design process, moving from the research leading to an original algorithm working offline, preliminarily tested in a lab setting, to the real-time engineering of the software, and the physical deployment of the system. Testing the system in a real-life scenario allowed us to identify a number of tricks and conditions that should to be taken into account since the initial steps, but the lab experimentation alone can barely help to focus on.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/259009 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 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 An AAL-Oriented Measurement-based Evaluation of Different HTTP-based Data Transport Protocols
International Workshop on Protocols, Applications and Platforms for Enhanced Living Environments
Autore/i: Zinner, T.; Geissler, S.; Helmschrott, F.; Spinsante, Susanna; Braeken, A.
Editore: IEEE
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: A key requirement for Active and Assisted Living (AAL) environments is the exchange of data between different communication endpoints to support wide range of services and applications. Used communication protocols need to support the bidirectional flow of information and have to be optimized with regard to security or latency constraints. To address these issues, RESTful approaches have recently gained much attention from the community. In this context, different application layer transport protocols can be used to realize the required data exchange. Besides HTTP/1.1, developed and standardized in the 1990s, new protocols like HTTP/2 and the QUIC transfer protocol my be suitable candidates. The impact of the different protocols on the overall performance for web and AAL services is still an open research question. This paper narrows this gap by conducting a measurement-based comparison of the three described protocols with regard to their performance in terms of web page loading times for Google web services.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/248931 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 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 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 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 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 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 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 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 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 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

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 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

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 Pain Assessment–Can it be Done with a Computerised System? A Systematic Review and Meta-Analysis
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
Autore/i: Pombo, Nuno; Garcia, Nuno; Bousson, Kouamana; Spinsante, Susanna; Chorbev, Ivan
Classificazione: 1 Contributo su Rivista
Abstract: Background: Mobile and web technologies are becoming increasingly used to support the treatment of chronic pain conditions. However, the subjectivity of pain perception makes its management and evaluation very difficult. Pain treatment requires a multi-dimensional approach (e.g., sensory, affective, cognitive) whence the evidence of technology effects across dimensions is lacking. This study aims to describe computerised monitoring systems and to suggest a methodology, based on statistical analysis, to evaluate their effects on pain assessment. Methods: We conducted a review of the English-language literature about computerised systems related to chronic pain complaints that included data collected via mobile devices or Internet, published since 2000 in three relevant bibliographical databases such as BioMed Central, PubMed Central and ScienceDirect. The extracted data include: objective and duration of the study, age and condition of the participants, and type of collected information (e.g., questionnaires, scales). Results: Sixty-two studies were included, encompassing 13,338 participants. A total of 50 (81%) studies related to mobile systems, and 12 (19%) related to web-based systems. Technology and pen-and-paper approaches presented equivalent outcomes related with pain intensity. Conclusions: The adoption of technology was revealed as accurate and feasible as pen-and-paper methods. The proposed assessment model based on data fusion combined with a qualitative assessment method was revealed to be suitable. Data integration raises several concerns and challenges to the design, development and application of monitoring systems applied to pain.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/235041 Collegamento a IRIS

2016 Secure end-to-end communication for constrained devices in IoT-enabled Ambient Assisted Living systems
2015 IEEE 2nd World Forum on Internet of Things (WF-IoT)
Autore/i: Porambage, P.; Braeken, A.; Gurtov, A.; Ylianttila, M.; Spinsante, S.
Editore: IEEE
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/234169 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 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 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 A Mobile Application for Easy Design and Testing of Algorithms to Monitor Physical Activity in the Workplace
MOBILE INFORMATION SYSTEMS
Autore/i: Spinsante, Susanna; Angelici, Alberto; Lundström, Jens; Espinilla, Macarena; Cleland, Ian; Nugent, Christopher
Classificazione: 1 Contributo su Rivista
Abstract: This paper addresses approaches to Human Activity Recognition (HAR) with the aim of monitoring the physical activity of people in the workplace, by means of a smartphone application exploiting the available on-board accelerometer sensor. In fact, HAR via a smartphone or wearable sensor can provide important information regarding the level of daily physical activity, especially in situations where a sedentary behavior usually occurs, like in modern workplace environments. Increased sitting time is significantly associated with severe health diseases, and the workplace is an appropriate intervention setting, due to the sedentary behavior typical of modern jobs. Within this paper, the state-of-the-art components of HAR are analyzed, in order to identify and select the most effective signal filtering and windowing solutions for physical activity monitoring. The classifier development process is based upon three phases; a feature extraction phase, a feature selection phase, and a training phase. In the training phase, a publicly available dataset is used to test among different classifier types and learning methods. A user-friendly Android-based smartphone application with low computational requirements has been developed to run field tests, which allows to easily change the classifier under test, and to collect new datasets ready for use with machine learning APIs. The newly created datasets may include additional information, like the smartphone position, its orientation, and the user’s physical characteristics. Using the mobile tool, a classifier based on a decision tree is finally set up and enriched with the introduction of some robustness improvements. The developed approach is capable of classifying six activities, and to distinguish between not active (sitting) and active states, with an accuracy near to 99%. The mobile tool, which is going to be further extended and enriched, will allow for rapid and easy benchmarking of new algorithms based on previously generated data, and on future collected datasets.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/236645 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 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 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 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 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 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 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 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 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

2016 Improving the quality of user generated data sets for activity recognition
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Autore/i: Nugent, Chris; Synnott, Jonathan; Gabrielli, Celeste; Zhang, Shuai; Espinilla, Macarena; Calzada, Alberto; Lundstrom, Jens; Cleland, Ian; Synnes, Kare; Hallberg, Josef; Spinsante, Susanna; Barrios, Miguel Angel Ortiz
Editore: Springer Verlag
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/248304 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

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 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 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 Smart Objects and interoperability: the strategy of “Smart Home for Active Aging” project
Proceedings del 6° Forum Italiano dell’Ambient Assisted Living (forITAAL2015)
Autore/i: Rossi, Lorena; Olivetti, Paolo; Spinsante, Susanna; Frontoni, Emanuele; Belli, Alberto; Re, Barbara; Matrella, Guido; Potena, Domenico
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/227311 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 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 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 A review of datasets and load forecasting techniques for smart natural gas and water grids: Analysis and experiments
NEUROCOMPUTING
Autore/i: Fagiani, M.; Squartini, S; Gabrielli, L; Spinsante,S; Piazza, F
Classificazione: 1 Contributo su Rivista
Abstract: In this paper, experiments concerning the prediction of water and natural gas consumption are presented, focusing on how to exploit data heterogeneity to get a reliable outcome. Prior to this, an up-to-date state-of-the-art review on the available datasets and forecasting techniques of water and natural gas consumption, is conducted. A collection of techniques (Artificial Neural Networks, Deep Belief Networks, Echo State Networks, Support Vector Regression, Genetic Programming and Extended Kalman Filter-Genetic Programming), partially selected from the state-of-the-art ones, are evaluated using the few publicly available datasets. The tests are performed according to two key aspects: homogeneous evaluation criteria and application of heterogeneous data. Experiments with heterogeneous data obtained combining multiple types of resources (water, gas, energy and temperature), aimed to short-term prediction, have been possible using the Almanac of Minutely Power dataset (AMPds). On the contrary, the Energy Information Administration (E.I.A.) data are used for long-term prediction combining gas and temperature information. At the end, the selected approaches have been evaluated using the sole Tehran water consumption for long-term forecasts (thanks to the full availability of the dataset). The AMPds and E.I.A. natural gas results show a correlation with temperature, that produce a performance improvement. The ANN and SVR approaches achieved good performance for both long/short-term predictions, while the EKF-GP showed good outcomes with the E.I.A. datasets. Finally, it is the authors' purpose to create a valid starting point for future works that aim to develop innovative forecasting approaches, providing a fair comparison among different computational intelligence and machine learning techniques.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/230155 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 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 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 Adaptive physical layer security using code bank of sequences for CDMA
Proceedings of IEEE Aerospace Conference 2015
Autore/i: Pillai, Preetha; Kharat, Shraddha; Warty, Chirag; Nema, Shikha; Spinsante, Susanna;
Editore: IEEE Publisher
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Wireless security is an important concern in todays technological world. Wireless devices are used to access data and private applications. From broadband to Wi-Fi, 3G to LTE Advanced, WiMAX to satellite communication every network demands on-the-air security from attacks. Tapping or Jamming attacks leak the secret data, while Service Disruption Attacks affecting QoS (Quality of Service) are relatively easy to perform. In CDMA, the channel and antenna dependent attacks are quite critical to avoid because of its wide bandwidth usage. The critical exchange of time and frequency parameters makes the physical layer elements vulnerable to security related attacks. In order to enable data security and secrecy, there is need of signal protection at the physical layer of CDMA system. Gold codes, M-sequences, OVSF and De-Bruijn sequences were used individually in wireless systems for scrambling purposes in previous proposals. These codes have their own advantages and disadvantages, when channel bandwidth and noise conditions change. This paper proposes a system which would select scrambling codes from a bank of all these mentioned codes depending upon the Signal to Noise Ratio (SNR) or Channel State Information (CSI). This code bank technique is shown as a highly practical solution in selection of proper code for mitigation of attacks and hence, to provide security at the physical layer of CDMA.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/226938 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 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 A new approach to sequence construction with good correlation by particle swarm optimization
JOURNAL OF COMMUNICATION SOFTWARE AND SYSTEMS
Autore/i: Sarayloo, M.; Gambi, E.; Spinsante, S.
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 Domestic Water and Natural Gas Demand Forecasting by using Heterogeneous Data: A Preliminary Study
Advances in Neural Networks: Computational and Theoretical Issues
Autore/i: Fagiani, M.; Squartini, S.; Gabrielli, L.; Spinsante, S.; Piazza, F.
Editore: Springer Science and Business Media Deutschland GmbH
Classificazione: 2 Contributo in Volume
Abstract: In this paper a preliminary study concerning prediction of domestic consumptions of water and natural gas based on genetic pro- gramming (GP) and its combination with extended Kalman Filter (EKF) is presented. The used database (AMPds) are composed of power, water, natural gas consumptions and temperatures. The study aims to investi- gate novel solutions and adopts state-of-the-art approaches to forecast resource demands using heterogeneous data of an household scenario. In order to have a better insight of the prediction performance and properly evaluate possible correlation between the various data types, the GP ap- proach has been applied varying the combination of input data, the time resolution, the number of previous data used for the prediction (lags) and the maximum depth of the tree. The best performance for both water and natural gas prediction have been achieved using the results obtained by the GP model created for a time resolution of 24 h, and using a set of input data composed of both water and natural gas consumptions. The results confirm the presence of a strong correlation between natural gas and water consumptions. Additional experiments have been executed in order to evaluate the effect of the prediction performance using long period heterogeneous data, obtained from the U.S. Energy Information Administration (E.I.A.).
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/225146 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

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

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 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 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 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

2014 Computational Intelligence in Smart Water and Gas Grids: an Up-to-Date Overview
Proceedings of IJCNN2014
Autore/i: M. Fagiani; S. Squartini; L. Gabrielli; M. Pizzichini; S. Spinsante
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Computational Intelligence plays a relevant role in several Smart Grid applications, and there is a florid literature in this regard. However, most of the efforts have been oriented to the electrical energy field, for which many contributions have appeared so far, also facilitated by the availability of suitable databases to use for system training and testing. Different is the case for the water and gas scenarios: this work is thus oriented to present the state-of-the-art techniques for these grids, from 2009 to date. In particular, the focus is on load forecasting and leakage detection applications, that are the most addressed in the literature and present the biggest interest from a commercial point of view as well: the main characteristics and registered performance for all the reviewed approaches are reported. Along this direction, an extensive search of used databases has been performed and thus made available to the research community.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/153908 Collegamento a IRIS

2014 Adaptive link layer security architecture for telecommand communications in space networks
CHINESE JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS
Autore/i: Zhang L.; An C.; Spinsante S.; Tang C.
Classificazione: 1 Contributo su Rivista
Abstract: Impressive advances in space technology are enabling complex missions, with potentially significant and long term impacts on human life and activities. In the vision of future space exploration, communication links among planets, satellites, spacecrafts and crewed vehicles will be designed according to a new paradigm, known as the disruption tolerant networking. In this scenario, space channel peculiarities impose a massive reengineering of many of the protocols usually adopted in terrestrial networks; among them, security solutions are to be deeply reviewed, and tailored to the specific space requirements. Security is to be provided not only to the payload data exchanged on the network, but also to the telecommands sent to a spacecraft, along possibly differentiated paths. Starting from the secure space telecommand design developed by the Consultative Committee for Space Data Systems as a response to agency-based requirements, an adaptive link layer security architecture is proposed to address some of the challenges for future space networks. Based on the analysis of the communication environment and the error diffusion properties of the authentication algorithms, a suitable mechanism is proposed to classify frame retransmission requests on the basis of the originating event (error or security attack) and reduce the impact of security operations. An adaptive algorithm to optimize the space control protocol, based on estimates of the time varying space channel, is also presented. The simulation results clearly demonstrate that the proposed architecture is feasible and efficient, especially when facing malicious attacks against frame transmission.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/180105 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 Home telehealth in older patients with heart failure – costs, adherence, and outcomes
SMART HOMECARE TECHNOLOGY AND TELEHEALTH
Autore/i: Spinsante S.
Classificazione: 1 Contributo su Rivista
Abstract: This short review discusses the role of telehealth technologies in the management of older patients with heart failure, from different perspectives. Instead of providing a systematic overview of existing literature in the field, this paper provides evidence for a simple, but effective, paradigm upon which a telehealth system may be built, and highlights how such a model may successfully apply to heart failure management, to improve patients' quality of life after discharge, increase independency, and reduce readmissions and costs for the public health institutions. A few examples are discussed, to show the real applicability of the proposed model and further confirm the effectiveness of telehealth, when properly designed and tailored to users' needs.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/185702 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 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 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 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 Smart Water Grids for Smart Cities: a Sustainable Prototype Demonstrator
Proceedings of EuCNC 2014
Autore/i: L. Gabrielli; M. Pizzichini; S. Spinsante; S. Squartini; R. Gavazzi
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: n the framework of a smart city, information and communications technologies are applied to tackle urban living challenges, with the aim of improving the citizens' quality of life, through a more efficient use of limited resources. Urban sensing by wireless sensor networks allows the collection, processing, analysis, and dissemination of valuable information, that is used to design adequate policies matching the users' needs, and avoiding non-ecological wasting of resources. To face an increasing water demand, and ensure a safe access to clean water resources, a network of sensor nodes could be located along water pipes. The automatic monitoring of the water grid, and the smart metering of water consumptions could be enabled, to increase the users' awareness, and improve the efficiency of the infrastructure management. To this aim, the paper presents a prototype demonstrator of a smart water metering infrastructure, developed in cooperation with Telecom Italia Lab, and built upon self-powered nodes in a Wireless Metering Bus capillary network at 169 MHz. The main elements of the system are presented, and the attainable performance discussed, through a number of experimental results.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/171904 Collegamento a IRIS


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