Fall Detection Using Plantar Inclinometer Sensor

Jianfei Sun, Zumin Wang, Bingnan Pei, Shuai Tao, Liming Chen

    Research output: Contribution to conferencePaperpeer-review

    3 Citations (Scopus)

    Abstract

    In this paper, we report a method of fall detection using plantar inclinometer sensor, which provides us the information of angle variations during walking, and of angle status after a fall. We analyzed the normal range of angle variations during walking, and selected the thresholds by testing the distribution of plantar angles after falls. In the experiments, thresholds were selected from plantar angles of fall status in four directions: forward, backward, left and right. Using the selected thresholds, we detected falls in different situations for one hundred times and obtained the detection rate of 92%.

    Conference

    Conference2015 IEEE 12th Intl. Conf. on Ubiquitous Intelligence and Computing, 2015 IEEE 12th Intl. Conf. on Autonomic and Trusted Computing and 2015 IEEE 15th Intl. Conf. on Scalable Computing and Communications and its Associated Workshops (UIC-ATC-ScalCom)
    Period10/08/1514/08/15

    Fingerprint Dive into the research topics of 'Fall Detection Using Plantar Inclinometer Sensor'. Together they form a unique fingerprint.

    Cite this