Bayesian classification for bed posture detection based on kurtosis and skewness estimation

Chi Chun Hsia, Yu Wei Hung, Yu Hsien Chiu, Chia Hao Kang

研究成果: Conference contribution

32 引文 斯高帕斯(Scopus)

摘要

This study proposes a bed posture detection method using Bayesian classification for the elderly and bedridden. Only 16 long-narrow FSR (Force Sensing Resistor) sensors, rather than pressure distribution image from a set of sensor array are used for classification. Kurtosis and skewness are estimated as feature vector to represent the shape of pressure contour using the pressure values received from sensors. Gaussian distribution is adopted for statistical modeling and classification for bed postures including supine, left/right lying. Experimental results reveal that proposed method exhibits encouraging potential in bed posture detection.

原文English
主出版物標題2008 10th IEEE Intl. Conf. on e-Health Networking, Applications and Service, HEALTHCOM 2008
頁面165-168
頁數4
DOIs
出版狀態Published - 2008 十月 6
事件2008 10th IEEE Intl. Conf. on e-Health Networking, Applications and Service, HEALTHCOM 2008 - Singapore, Singapore
持續時間: 2008 七月 72008 七月 9

出版系列

名字2008 10th IEEE Intl. Conf. on e-Health Networking, Applications and Service, HEALTHCOM 2008

Conference

Conference2008 10th IEEE Intl. Conf. on e-Health Networking, Applications and Service, HEALTHCOM 2008
國家/地區Singapore
城市Singapore
期間08-07-0708-07-09

All Science Journal Classification (ASJC) codes

  • 電腦網路與通信
  • 健康資訊學
  • 健康資訊管理

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