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An Environmental-Adaptive Fall Detection System on Mobile Device

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Abstract

When facing damages caused by falls, a well designed smart sensor system to detect falls can be both medically and economically helpful. This research introduces a portable terrain adaptable fall detection system, by placing accelerometers and gyroscopes in parts of the body and transmit data through wireless transmitter modules to mobile devices to get the related information and combining it with the center of gravity clustering algorithm introduced in this research which computes the human body behavior patterns according the relationship between the center of gravity in the body and the feet portion of the body. Compared with the research in the past, this system is not only highly accurate and robust, but also able to adapt to different types of terrains, which solves the problems that other researches have for detection errors when the client is climbing the stairs or walking on a slant.

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Authors and Affiliations

  1. Department of Engineering Science, National Cheng Kung University, No. 1, University Rd., Tainan, 701, Taiwan

    Sung-Yen Chang & Yueh-Min Huang

  2. Institute of Computer Science and Information Engineering, National ILan University, No. 1, Sec. 1, Shen-Lung Rd., I-Lan, 260, Taiwan

    Chin-Feng Lai & Han-Chieh Josh Chao

  3. Department of Computer Science and Engineering, Seoul National University of Technology, 172 Gongreung 2-dong, Nowon-gu, Seoul, 139-742, Korea

    Jong Hyuk Park

Authors
  1. Sung-Yen Chang
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  2. Chin-Feng Lai
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  3. Han-Chieh Josh Chao
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  4. Jong Hyuk Park
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  5. Yueh-Min Huang
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Correspondence to Han-Chieh Josh Chao.

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Chang, SY., Lai, CF., Chao, HC.J. et al. An Environmental-Adaptive Fall Detection System on Mobile Device. J Med Syst 35, 1299–1312 (2011). https://doi.org/10.1007/s10916-011-9677-2

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  • DOI: https://doi.org/10.1007/s10916-011-9677-2

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