@inproceedings{7b54d7d5e53c4023abb335b5f2b16b94,
title = "Multi-modal 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. Sleep pattern is a significant aspect to evaluate the quality of sleep, and how to recognizethe elder's sleep pattern is an importantissuefor elder-care community. This paper presents a novel multimodal sensing system to monitor the elder's sleep behavior with the pressure sensor matrix and ultra wide band (UWB) tags.Based on the proposed sleep monitoring system, the paper addresses the unobtrusive sleep postures detection and pattern recognition approaches, and the processing methods of experimental data and theclassification algorithms for sleep pattern recognitionare also discussed.",
keywords = "Elder-care, Na{\"i}ve Bayes Tree, Pressure Sensor, Random Forest, Sleep Pattern, UWB tags",
author = "Hongbo Ni and Bessam Abdulrazak and Daqing Zhang and Shu Wu and Xingshe Zhou and Kejian Miao and Daifei Han",
year = "2012",
month = jun,
day = "18",
doi = "10.1007/978-3-642-30779-9\_17",
language = "English",
isbn = "9783642307782",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "132--139",
booktitle = "Impact Analysis of Solutions for Chronic Disease Prevention and Management - 10th International Conference on Smart Homes and Health Telematics, ICOST 2012, Proceedings",
note = "10th International Conference on Smart Homes and Health Telematics, ICOST 2012 ; Conference date: 12-06-2012 Through 15-06-2012",
}