Falling person detection using multi-sensor signal processing

被引：0
|
作者：
Toereyin, B. Ugur [1 ]
Soyer, E. Birey [1 ]
Onaran, Ibrahim [1 ]
Cetin, A. Enis [1 ]
机构：
[1] Bilkent Univ, Elekt & Elekt Muhendisligi Bolumu, TR-06800 Ankara, Turkey
来源：
2007 IEEE 15TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS, VOLS 1-3 | 2007年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Falls are one of the most important problems for frail and elderly people living independently. Early detection of falls is vital to provide a safe and active lifestyle for elderly. In this paper, signals produced by sound and passive infrared (PIR) sensors are simultaneously analyzed to detect suddenly falling elderly people. A typical room in a supportive home can be equipped with sound and PIR sensors. Hidden Markov models are trained for regular and unusual activities of an elderly person and a pet for each sensor signal. Decisions of HMMs can be fused together to reach a final decision.
引用
收藏
页码：933 / 936
页数：4
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