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Gianluca CIATTAGLIA

Pubblicazioni

Gianluca CIATTAGLIA

 

10 pubblicazioni classificate nel seguente modo:

Nr. doc. Classificazioni
8 4 Contributo in Atti di Convegno (Proceeding)
2 1 Contributo su Rivista
Anno Risorsa
2020 Contactless Heart Rate Measurements using RGB-camera and Radar
Proceedings of the 6th International Conference on Information and Communication Technologies for Ageing Well and e-Health
Autore/i: Senigagliesi, Linda; Gambi, Ennio; De Santis, Adelmo; Ciattaglia, Gianluca; Ricciuti, Manola
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: The detection of vital parameters with traditional approaches, as the electrocardiograph, requires to appropriately place electrodes in direct contact with patients’ skin, often causing irritation. On the other hand, contactless measurement of physiological parameters provides an unobtrusive and comfortable instrument for subjects’ conditions monitoring, with application to home monitoring of aging people and in particular to those suffering of heart disease. In this paper two contactless techniques are proposed, based on radar technology and on video processing from an RGB camera. In order to validate their precision, the proposed methods are compared with three wearable low cost devices, taken as a reference for the outcomes. The developed approaches prove to achieve excellent performances, with an estimated mean relative error of 0.55% with respect to a commercial cardiac strap device.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/282727 Collegamento a IRIS

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

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

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 Contactless measurement of physiological parameters
IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin
Autore/i: Ciattaglia, G.; Senigagliesi, L.; De Santis, A.; Ricciuti, M.
Editore: IEEE Computer Society
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: The possibility of remote measurement of vital parameters makes it possible to implement telemedicine systems. However these systems are of particular interest for subjects who, due to age or pathologies, are weak and fragile. For these subjects, the management of devices for measuring vital parameters that must be appropriately positioned in contact with the skin, in fixed positions, is difficult. For this reason, in this paper two technologies are shown for the non-contact measurement of two physiological parameters, heart rate and respiratory rate, based on the acquisition and processing of video signals and radar signals. The techniques presented are based on the use of commercial devices. The use of these technologies simplifies the acquisition of vital parameters compared to traditional technologies. The reliability of the measured values was evaluated by comparing the values obtained with a pulse oximeter and an app on a smartphone.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/275254 Collegamento a IRIS

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

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

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

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

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


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