Towards non-intrusive sleep pattern recognition in elder assistive environment

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

doi:10.1007/s12652-011-0082-y

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: Contribution to journal › Article › peer-review

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 language	English
Pages (from-to)	167-175
Number of pages	9
Journal	Journal of Ambient Intelligence and Humanized Computing
Volume	3
Issue number	2
DOIs	https://doi.org/10.1007/s12652-011-0082-y
Publication status	Published - 1 Jun 2012

Keywords

Elder-care
Naïve bayes
Pressure sensor
Random Forest
Sleep pattern

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10.1007/s12652-011-0082-y

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title = "Towards non-intrusive sleep pattern recognition in elder assistive environment",

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.",

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author = "Hongbo Ni and Bessam Abdulrazak and Daqing Zhang and Shu Wu and Zhiwen Yu and Xingshe Zhou and Shengrui Wang",

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T1 - Towards non-intrusive sleep pattern recognition in elder assistive environment

AU - Ni, Hongbo

AU - Abdulrazak, Bessam

AU - Zhang, Daqing

AU - Wu, Shu

AU - Yu, Zhiwen

AU - Zhou, Xingshe

AU - Wang, Shengrui

PY - 2012/6/1

Y1 - 2012/6/1

N2 - 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.

AB - 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.

KW - Elder-care

KW - Naïve bayes

KW - Pressure sensor

KW - Random Forest

KW - Sleep pattern

U2 - 10.1007/s12652-011-0082-y

DO - 10.1007/s12652-011-0082-y

M3 - Article

AN - SCOPUS:84860474871

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JO - Journal of Ambient Intelligence and Humanized Computing

JF - Journal of Ambient Intelligence and Humanized Computing

IS - 2

ER -

Towards non-intrusive sleep pattern recognition in elder assistive environment

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Keywords

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