Towards non-intrusive sleep pattern recognition in elder assistive environment

Hongbo Ni, Bessam Abdulrazak, Daqing Zhang, Shu Wu, Zhiwen Yu, Xingshe Zhou, Shengrui Wang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

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.

Original languageEnglish
Title of host publicationUbiquitous Intelligence and Computing - 7th International Conference, UIC 2010, Proceedings
PublisherSpringer Verlag
Pages96-109
Number of pages14
ISBN (Print)3642163548, 9783642163548
DOIs
StatePublished - 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6406 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Keywords

  • elder-care
  • naïve bayes
  • pressure sensor
  • random forest
  • Sleep pattern

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