Characterization of a Multi-User Indoor Positioning System Based on Low Cost Depth Vision (Kinect) for Monitoring Human Activity in a Smart Home

Autor: Loic Sevrin, Jacques Saraydaryan, Bertrand Massot, Nacer Abouchi, Norbert Noury, Fabrice Jumel
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), École supérieure de Chimie Physique Electronique de Lyon (CPE), 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), École Supérieure de Chimie Physique Électronique de Lyon (CPE), 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)
Rok vydání: 2016
Předmět:
FOS: Computer and information sciences
Computer science
Asset tracking
Biomedical sensors
Computer Science - Human-Computer Interaction
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
02 engineering and technology
010502 geochemistry & geophysics
Multi-user
01 natural sciences
[SPI.AUTO]Engineering Sciences [physics]/Automatic
Human-Computer Interaction (cs.HC)
Computer Science - Computers and Society
Indoor positioning system
Home automation
Human–computer interaction
Computers and Society (cs.CY)
0202 electrical engineering
electronic engineering
information engineering
Humans
Telemetry
Human Activities
0105 earth and related environmental sciences
[SDV.EE.SANT]Life Sciences [q-bio]/Ecology
environment/Health
E-health
business.industry
020206 networking & telecommunications
Sensor fusion
Global Positioning System
Depth Image Processing
business
[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Zdroj: 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Aug 2015, Milan, Italy. pp.5003-5007, ⟨10.1109/EMBC.2015.7319515⟩
EMBC
DOI: 10.48550/arxiv.1602.02574
Popis: International audience; An increasing number of systems use indoor positioning for many scenarios such as asset tracking, health care, games, manufacturing, logistics, shopping, and security. Many technologies are available and the use of depth cameras is becoming more and more attractive as this kind of device becomes affordable and easy to handle. This paper contributes to the effort of creating an indoor positioning system based on low cost depth cameras (Kinect). A method is proposed to optimize the calibration of the depth cameras, to describe the multi-camera data fusion and to specify a global positioning projection to maintain the compatibility with outdoor positioning systems. The monitoring of the people trajectories at home is intended for the early detection of a shift in daily activities which highlights disabilities and loss of autonomy. This system is meant to improve homecare health management at home for a better end of life at a sustainable cost for the community.
Databáze: OpenAIRE
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