Non-intrusive sleep pattern recognition with ubiquitous sensing in elderly assistive environment

作     者：Shu WU Bessam ABDULRAZAK Daqing ZHANG Xiaojuan MA Xingshe ZHOU 

作者机构：School of Computer Science Northwestern Polytechnic University Xi'an 710072 China Center for Research on Intelligent Perception and Computing National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences Beijing 100090 China Department of Computer University of Sherbrooke Sherbrooke JIK2R1 Canada Handicom Lab Institut Telecom SudParis Evry 91011 France Huawei Noah's Ark Lab Hong Kong China 

出 版 物：《Frontiers of Computer Science》 (中国计算机科学前沿（英文版）)

年 卷 期：2015年第9卷第6期

页      面：966-979页

核心收录：

学科分类：1305[艺术学-设计学（可授艺术学、工学学位）] 0710[理学-生物学] 13[艺术学] 07[理学] 081104[工学-模式识别与智能系统] 08[工学] 0804[工学-仪器科学与技术] 071006[理学-神经生物学] 081101[工学-控制理论与控制工程] 0811[工学-控制科学与工程] 

基　　金：supported by the Fond Nature of Technologies, MELS Program, Quebec, Canada, the Key Project of National Found of Science of China Fundamental Research Grant of NWPU 

主　　题：sleep pattern elder-care pressure sensor UWB tags Naive Bayes Random Forest 

摘      要：The quality of sleep may be a reflection of an el- derly individual＇s health state, and sleep pattern is an im- portant measurement. Recognition of sleep pattern by itself is a challenge issue, especially for elderly-care community, due to both privacy concerns and technical limitations. We propose a novel multi-parametric sensing system called sleep pattern recognition system （SPRS）. This system, equipped with a combination of various non-invasive sensors, can mon- itor an elderly user＇s sleep behavior. It accumulates the de- tecting data from a pressure sensor matrix and ultra wide band （UWB） tags. Based on these two types of complemen- tary sensing data, SPRS can assess the user＇s sleep pattern automatically via machine learning algorithms. Compared to existing systems, SPRS operates without disrupting the users＇ sleep. It can be used in normal households with minimal deployment. Results of tests in our real assistive apartment at the Smart Elder-care Lab are also presented in this paper.