Investigating running gait using a shoe-integrated wireless inertial sensor

Di-Kiat Chew, Darwin Gouwanda, Alpha Agape Gopalai

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    Abstract

    Inertial sensor have been widely used to analyze human walking, but only few studies used inertial sensor to analyze running gait. This paper presented the use of inertial sensor to identify running gait phases and to estimate running speed. An experimental study were conducted to validate the feasibility of this approach. In this experiment, sensor were positioned on top of the third metatarsal of the foot. Subjects were requested to run at 8 km/h - 11 km/h. Raw acceleration and angular velocity were recorded. An off-phase segmentation was then employed to segment the running sequence into individual stride. The orientation of the foot was determined through integration and the running speed was estimated by integrating the acceleration data. The results were satisfactory. The root mean square error (RMSE) were found to be ranging between 4.54 and 5.59 for all the estimated running speed.
    Original languageEnglish
    Title of host publicationProceedings of the IEEE TENCON 2015
    EditorsKeng Weng Lao
    Place of PublicationNew Jersey USA
    PublisherIEEE, Institute of Electrical and Electronics Engineers
    Number of pages6
    ISBN (Print)9781479986415
    DOIs
    Publication statusPublished - 2015
    EventIEEE Tencon (IEEE Region 10 Conference) 2015 - Holiday Inn Sands Cotai Central, Macau, China
    Duration: 1 Nov 20154 Nov 2015
    Conference number: 35th
    https://www.ieee.org/conferences_events/conferences/conferencedetails/index.html?Conf_ID=35439
    http://www.ieeer10.org/meeting/Macau%20Section%20-%20TENCON%202015.pdf

    Conference

    ConferenceIEEE Tencon (IEEE Region 10 Conference) 2015
    Abbreviated titleTENCON 2015
    CountryChina
    CityMacau
    Period1/11/154/11/15
    Internet address

    Cite this

    Chew, D-K., Gouwanda, D., & Agape Gopalai, A. (2015). Investigating running gait using a shoe-integrated wireless inertial sensor. In K. W. Lao (Ed.), Proceedings of the IEEE TENCON 2015 [7373054] IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/TENCON.2015.7373054