Falling person detection using multi-sensor signal processing
Author
Töreyin, Behçet Uğur
Soyer, Emin Birey
Onaran, İbrahim
Çetin, A. Enis
Date
2007Source Title
Proceedings of the 15th Signal Processing and Communications Applications, IEEE 2007
Print ISSN
2165-0608
Publisher
IEEE
Language
Turkish
Type
Conference PaperItem Usage Stats
181
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Abstract
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.