A data fusion system to study synchronization in social activities
Autor: | Loic Sevrin, Jacques Saraydaryan, Norbert Noury, Bertrand Massot, Nacer Abouchi, Fabrice Jumel |
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Přispěvatelé: | INL - Capteurs Biomédicaux (INL - Capteurs), Institut des Nanotechnologies de Lyon (INL), École Centrale de Lyon (ECL), Université de Lyon-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-École supérieure de Chimie Physique Electronique de Lyon (CPE)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-École Centrale de Lyon (ECL), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS), INL - Conception de Systèmes Hétérogènes (INL - CSH), CITI Centre of Innovation in Telecommunications and Integration of services (CITI), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria), Université de Lyon-École Supérieure de Chimie Physique Électronique de Lyon (CPE)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-École Centrale de Lyon (ECL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria), Massot, Bertrand |
Jazyk: | angličtina |
Rok vydání: | 2016 |
Předmět: |
FOS: Computer and information sciences
Rest (physics) 020205 medical informatics Computer science [SPI] Engineering Sciences [physics] Real-time computing 02 engineering and technology Sensor fusion Synchronization Continuous analysis Computer Science - Computers and Society 03 medical and health sciences [SPI]Engineering Sciences [physics] 0302 clinical medicine Computers and Society (cs.CY) Synchronization (computer science) 0202 electrical engineering electronic engineering information engineering 030212 general & internal medicine ComputingMilieux_MISCELLANEOUS |
Zdroj: | 2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom) 2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom), Sep 2016, Munich, Germany |
Popis: | As the world population gets older, the healthcare system must be adapted, among others by providing continuous health monitoring at home and in the city. The social activities have a significant role in everyone health status. Hence, this paper proposes a system to perform a data fusion of signals sampled on several subjects during social activities. This study implies the time synchronization of data coming from several sensors whether these are embedded on people or integrated in the environment. The data fusion is applied to several experiments including physical, cognitive and rest activities, with social aspects. The simultaneous and continuous analysis of four subjects cardiac activity and GPS coordinates provides a new way to distinguish different collaborative activities comparing the measurements between the subjects and along time. Comment: Healthcom 2016 |
Databáze: | OpenAIRE |
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