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Content Provider | IEEE Xplore Digital Library |
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Author | Chia-Chi Wang Chin-Yen Chiang Po-Yen Lin Yi-Chieh Chou I-Ting Kuo Chih-Ning Huang Chia-Tai Chan |
Copyright Year | 2008 |
Description | Author affiliation: Inst. of Biomed. Eng., Nat. Yang-Ming Univ., Taipei (Chia-Chi Wang; Chin-Yen Chiang; Po-Yen Lin; Yi-Chieh Chou; I-Ting Kuo; Chih-Ning Huang; Chia-Tai Chan) |
Abstract | Accidental falls are common causes of serious injury and health threats in the elder population. To deliver adequate medical support, the robust and immediate falls detection is important. Since the fall detection in the elderly remains a major challenge in the public health domain, effective fall-detection will provide urgent support and dramatically reduce the cost of medical care. In this work, we propose a fall-detecting system placing an accelerometer on the head level and using an algorithm to distinguish between falls and daily activities. The experimental results have demonstrated the proposed scheme with high reliability and sensitivity on fall detection. The system is not only cost effectively but also potable. It fulfills the requirements of fall detection. |
Starting Page | 1359 |
Ending Page | 1362 |
File Size | 332807 |
Page Count | 4 |
File Format | |
ISBN | 9781424417476 |
DOI | 10.1109/ICBBE.2008.669 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2008-05-16 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Accelerometers Wrist Head Costs Senior citizens Insurance Auditory system Robustness Injuries Signal detection |
Content Type | Text |
Resource Type | Article |
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