A Plantar Inclinometer Based Approach to Fall Detection in Open Environments

Jianfei Sun, Zumin Wang, Liming Chen, Baofeng Wang, Changqing Ji, Shuai Tao

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

    3 Citations (Scopus)

    Abstract

    In this paper, we report a threshold-based 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. The angle variations and status are collected in three-dimensional space. We analyzed the normal range of angle variations during walking, and selected the thresholds by testing the distribution of plantar angles of 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 of five subjects in different situations for five hundred times and obtained the average detection rate of 85.4 %.
    Original languageEnglish
    Title of host publicationEmerging Trends and Advanced Technologies for Computational Intelligence
    PublisherSpringer Cham
    Pages1-13
    Volume647
    ISBN (Print)978-3-319-33351-9
    DOIs
    Publication statusPublished - 7 Jun 2016

    Publication series

    NameEmerging Trends and Advanced Technologies for Computational Intelligence
    Volume647
    ISSN (Print)1860-949X
    ISSN (Electronic)1860-9503

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