DocumentCode
3625918
Title
Falling Person Detection Using Multi-sensor Signal Processing
Author
B.Ugur Toreyin;E. Birey Soyer;Ibrahim Onaran;A. Enis Cetin
Author_Institution
Elektrik ve Elektronik M?hendisli?i B?l?m?, Bilkent ?niversitesi, 06800 Ankara. ugur@ee.bilkent.edu.tr
fYear
2007
fDate
6/1/2007 12:00:00 AM
Firstpage
1
Lastpage
4
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.
Keywords
"Signal processing","Senior citizens","Acoustic sensors","Infrared sensors","Infrared detectors","Hidden Markov models","Signal analysis","Positron emission tomography"
Publisher
ieee
Conference_Titel
Signal Processing and Communications Applications, 2007. SIU 2007. IEEE 15th
ISSN
2165-0608
Print_ISBN
1-4244-0719-2
Type
conf
DOI
10.1109/SIU.2007.4298709
Filename
4298709
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