Báo cáo hóa học: " Research Article Falling Person Detection Using Multisensor Signal Processing"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Falling Person Detection Using Multisensor Signal Processing | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2008 Article ID 149304 7 pages doi 2008 149304 Research Article Falling Person Detection Using Multisensor Signal Processing B. Ugur Toreyin E. Birey Soyer Ibrahim Onaran and A. Enis Cetin Department of Electrical and Electronics Engineering Faculty of Engineering Bilkent University 06800 Bilkent Ankara Turkey Correspondence should be addressed to B. Ugur Toreyin ugur@ Received 28 February 2007 Accepted 12 September 2007 Recommended by Eric Pauwels Falls are 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. Sound passive infrared PIR and vibration sensors can be placed in a supportive home environment to provide information about daily activities of an elderly person. In this paper signals produced by sound PIR and vibration sensors are simultaneously analyzed to detect falls. Hidden Markov models HMM are trained for regular and unusual activities of an elderly person and a pet for each sensor signal. Decisions of HMMs are fused together to reach a final decision. Copyright 2008 B. Ugur Toreyin et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. INTRODUCTION Detection of a falling person in an unsupervised area is a practical problem with applications in safety and security areas including supportive home environments. Intelligent homes will have the capability of monitoring activities of their occupants and automatically provide assistance to elderly people and young children using a multitude of sensors in the near future. Currently used worn sensors include passive infrared sensors accelerometers and pressure pads 1-5 . However they may produce false alarms and elderly .

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