Towards non-intrusive sleep pattern recognition in elder assistive environment

Authors:
Hongbo Ni;Bessam Abdulrazak;Daqing Zhang;Shu Wu;Zhiwen Yu;Xingshe Zhou;Shengrui Wang
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;School of Computer Science, Northwestern Polytechnic University, China;School of Computer Science, Northwestern Polytechnic University, China;Department of Computer, University of Sherbrooke, Canada
Venue:
UIC'10 Proceedings of the 7th international conference on Ubiquitous intelligence and computing
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 challenge. The sleep pattern is a significant aspect to evaluate the quality of sleep, and how to recognize elder's sleep pattern is an important issue for elder-care community. With the pressure sensor matrix to monitor the elder's sleep behavior in bed, this paper presents an unobtrusive sleep postures detection and pattern recognition approaches. Based on the proposed sleep monitoring system, the processing methods of experimental data and the classification algorithms for sleep pattern recognition are also discussed.