Unobtrusive sleep posture detection for elder-care in smart home

Authors:
Hongbo Ni;Bessam Abdulrazak;Daqing Zhang;Shu Wu
Affiliations:
School of Computer Science, Northwestern Polytechnic University, China and Department of Computer, University of Sherbrooke, Canada;Department of Computer, University of Sherbrooke, Canada;Handicom Lab, Institut Telecom SudParis, France;Department of Computer, University of Sherbrooke, Canada
Venue:
ICOST'10 Proceedings of the Aging friendly technology for health and independence, and 8th international conference on Smart homes and health telematics
Year:
2010

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Abstract

Quality of sleep is an important attribute of an elder's health state and its assessment is still a huge issue. The sleep posture is a significant feature to evaluate the quality of sleep, and how to detect elder's sleep posture is a key challenge in elder-care community. This paper proposes an unobtrusive sleep postures detection solution and introduces pressure sensor matrix to monitor the elder's sleep posture in bed. Based on the proposed sleep detection system, the processing methods of experimental data and the classification approaches for sleep posture detection are also discussed.