An environmental-adaptive fall detection system on mobile device

Sung Yen Chang, Chin-Feng Lai, Han Chieh Josh Chao, Jong Hyuk Park, Yueh-Min Huang

Research output: Contribution to journalArticle

15 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)1299-1312
Number of pages14
JournalJournal of Medical Systems
Issue number5
Publication statusPublished - 2011 Oct 1

All Science Journal Classification (ASJC) codes

  • Medicine (miscellaneous)
  • Information Systems
  • Health Informatics
  • Health Information Management

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