Detection of collaborative activity with Kinect depth cameras
| Autor: | Fabrice Jumel, Loic Sevrin, Jacques Saraydaryan, Nacer Abouchi, Bertrand Massot, Norbert Noury |
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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), Massot, Bertrand, 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) |
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
FOS: Computer and information sciences
Computer science [SPI] Engineering Sciences [physics] Acceleration Computer Science - Human-Computer Interaction Monitoring Ambulatory 02 engineering and technology Human-Computer Interaction (cs.HC) 030218 nuclear medicine & medical imaging 03 medical and health sciences Computer Science - Computers and Society [SPI]Engineering Sciences [physics] 0302 clinical medicine Computers and Society (cs.CY) Photography 0202 electrical engineering electronic engineering information engineering Humans Computer vision Sensitivity (control systems) Cooperative Behavior ComputingMilieux_MISCELLANEOUS business.industry Robotics 3. Good health 020201 artificial intelligence & image processing Artificial intelligence Artifacts business |
| Zdroj: | 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Aug 2016, Orlando, United States |
| Popis: | The health status of elderly subjects is highly correlated to their activities together with their social interactions. Thus, the long term monitoring in home of their health status, shall also address the analysis of collaborative activities. This paper proposes a preliminary approach of such a system which can detect the simultaneous presence of several subjects in a common area using Kinect depth cameras. Most areas in home being dedicated to specific tasks, the localization enables the classification of tasks, whether collaborative or not. A scenario of a 24 hours day shrunk into 24 minutes was used to validate our approach. It pointed out the need of artifacts removal to reach high specificity and good sensitivity. Engineering in Medicine and Biology Society (EMBC), 2016 |
| Databáze: | OpenAIRE |
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