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A Real-Time Human Posture Classifier and Fall-Detector

Lin, Chia-Hua

Abstract Details

2014, Doctor of Philosophy, Case Western Reserve University, EECS - Electrical Engineering.
There is a growing demand on human activity recognition and remote wellness monitoring in modern societies. Related algorithms and hardware platforms have been intensively researched during the past decade. This work presents a wearable system for real-time human activity classification and fall detection. As the major part of this system, several algorithms are designed for feature extraction, vertical displacement estimation, and posture classification, and implemented in a customized wearable embedded platform. This battery-powered device has been tested on both undergraduate/graduate students and the elderly. The automatically logged activity reports in the testing are compared with video clips, manually logged activity, and the report from three different commercially available activity trackers. The testing results show up to 89.96% of second-by-second accuracy on daily activities, 75.2% fall detection sensitivity, and 99.85% fall detection specificity.
Mehran Mehregany, Ph.D. (Advisor)
Mehran Mehregany, Ph.D. (Committee Chair)
Murat Cenk Cavusoglu, Ph.D. (Committee Member)
Francis Merat, Ph.D. (Committee Member)
Elizabeth Madigan, Ph.D. (Committee Member)
142 p.

Recommended Citations

Citations

  • Lin, C.-H. (2014). A Real-Time Human Posture Classifier and Fall-Detector [Doctoral dissertation, Case Western Reserve University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=case1401707860

    APA Style (7th edition)

  • Lin, Chia-Hua. A Real-Time Human Posture Classifier and Fall-Detector. 2014. Case Western Reserve University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=case1401707860.

    MLA Style (8th edition)

  • Lin, Chia-Hua. "A Real-Time Human Posture Classifier and Fall-Detector." Doctoral dissertation, Case Western Reserve University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=case1401707860

    Chicago Manual of Style (17th edition)