Intelligent Detection of the Falls in the Elderly Using Fuzzy Inference System and Video-based Motion Estimation Method
Publish Year: 1392
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
ICMVIP08_215
تاریخ نمایه سازی: 9 بهمن 1392
Abstract:
Automatic detection of the abnormal walking inpeople, especially such accidents as the falls in the elderly, basedon image processing techniques and computer vision can helpdevelop an efficient system that its implementation in variouscontexts enables us to monitor people’s movements. This paperproposes a new algorithm, which drawing on fuzzy rules inclassification of movements as well as the implementation of themotion estimation, allows the rapid processing of the input data.At the testing stage, 57425 video frames received from MotherNursing Home in Farzanegan and the video sequences containingthe falls of the elderly were used. The results show that the valuesof average accuracy (AAC), detection rate (DR) and false alarmrate (FAR) were at an acceptable level, respectively with93%, 89% and 5%. Compared to the similar techniques, theimplementation of the proposed system in nursing homes andresidential areas allow the real time and intelligent monitoring ofthe people.
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Authors
Khosro Rezaee
Biomedical Engineering Group, Department of Electrical and Computer Engineering
Javad Haddadnia
New Technologies Research Center, Medical University of Sabzevar, Sabzevar, Iran
Ahmad Delbari
Department of Neurobiology, Care Sciences and Society (NVS) Karolinska Institute, Stockholm, Sweden
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