@inproceedings{578d5e5beafb4c50942aba0a210a6fbc,
title = "Unobtrusive sleep posture detection for elder-care in smart home",
abstract = "Quality of sleep is an important attribute of an elder's health state and its assessment is still a huge issue. The sleep posture is a significant feature to evaluate the quality of sleep, and how to detect elder's sleep posture is a key challenge in elder-care community. This paper proposes an unobtrusive sleep postures detection solution and introduces pressure sensor matrix to monitor the elder's sleep posture in bed. Based on the proposed sleep detection system, the processing methods of experimental data and the classification approaches for sleep posture detection are also discussed.",
author = "Hongbo Ni and Bessam Abdulrazak and Daqing Zhang and Shu Wu",
year = "2010",
month = aug,
day = "16",
doi = "10.1007/978-3-642-13778-5\_9",
language = "English",
isbn = "3642137776",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "67--75",
booktitle = "Aging Friendly Technology for Health and Independence - 8th International Conference on Smart Homes and Health Telematics, ICOST 2010, Proceedings",
note = "8th International Conference on Smart Homes and Health Telematics, ICOST 2010 ; Conference date: 22-06-2010 Through 24-06-2010",
}