Exploiting BLE beacons capabilities in the NESTORE monitoring system

Palumbo, Filippo (Institute of Information Science and Technologies "A. Faedo" Natinal Research Council, Pisa, Italy) ; Baronti, Paolo (Institute of Information Science and Technologies "A. Faedo" Natinal Research Council, Pisa, Italy) ; Crivello, Antonino (Institute of Information Science and Technologies "A. Faedo" Natinal Research Council, Pisa, Italy) ; Furfari, Francesco (Institute of Information Science and Technologies "A. Faedo" Natinal Research Council, Pisa, Italy) ; Girolami, Michele (Institute of Information Science and Technologies "A. Faedo" Natinal Research Council, Pisa, Italy) ; Mavilia, Fabio (Institute of Information Science and Technologies "A. Faedo" Natinal Research Council, Pisa, Italy) ; Civiello, Marta (Institute of Information Science and Technologies "A. Faedo" Natinal Research Council, Pisa, Italy) ; Denna, Enrico (Flextronics Design SRL, Milan, Italy) ; Angelini, Leonardo (School of Engineering and Architecture (HEIA-FR), HES-SO // University of Applied Sciences Western Switzerland) ; El Kamali, Mira (School of Engineering and Architecture (HEIA-FR), HES-SO // University of Applied Sciences Western Switzerland) ; Abou Khaled, Omar (School of Engineering and Architecture (HEIA-FR), HES-SO // University of Applied Sciences Western Switzerland) ; Mugellini, Elena (School of Engineering and Architecture (HEIA-FR), HES-SO // University of Applied Sciences Western Switzerland) ; Pace, Giancarlo (Neosperience S.p.a., Brescia, Italy)

Monitoring physiological and behavioural data related to the five domains of well-being (i.e., physical, mental, cognitive, social, and nutritional) is relevant for assessing the profile of people using assistive technologies, in order to provide early detection and adaptive support to his changing individual needs related to ageing. In this paper, we present a system called NESTORE that aims at addressing such a challenge. In particular, we focus on the enabling technology that composes the core set of devices of the so-called environmental monitoring system, namely the NESTORE Bluetooth Low Energy beacons. The presented system performs a range of services including data collection and analysis of short- and long-term trends in social and behavioural parameters. Furthermore, using the same set of devices the system provides insights on the status of the user’s vital space in terms of thermal comfort. We provide an overview of the NESTORE environmental monitoring system and details and evaluation of the software modules built upont the chosen technology: social interaction detection, indoor behavioural index inference, and indoor thermal comfort detection.


Keywords:
Conference Type:
published full paper
Faculty:
Ingénierie et Architecture
School:
HEIA-FR
Institute:
HumanTech - Technology for Human Wellbeing Institute
Publisher:
Rende, Italy, 19 November 2019
Date:
2019-11
Rende, Italy
19 November 2019
Pagination:
18 p.
Published in:
Proceedings of the 5th Italian Workshop on Artificial Intelligence for Ambient Assisted Living 2019, co-located with 18th International Conference of the Italian Association for Artificial Intelligence, AI*AAL@AI*IA 2019, 22 November 2019, Rende, Italy
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 Record created 2021-01-19, last modified 2021-01-20

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