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
fDate :
6/1/2007 12:00:00 AM
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"
Conference_Titel :
Signal Processing and Communications Applications, 2007. SIU 2007. IEEE 15th
Print_ISBN :
1-4244-0719-2
DOI :
10.1109/SIU.2007.4298709
