Gait events detection using inertial sensors, Apple Watch, and the G-WALK reference system

H. J. Navarro, S. A. Salinas, W. J. Arenas, S. A. Sotelo, C. L. Rueda, M. E. Otero, M. A. Altuve, W. J. Jaimes

    Research output: Chapter in Book/Report/Conference proceedingConference and proceedingspeer-review

    1 Scopus citations

    Abstract

    The main challenge in developing gait analysis systems is to ensure accuracy in the detection of gait eve nts. To achieve this, the development of algorithms that detect these events is critical. Besides, knowledge of the places where the events appear on the sensor signals is important. In this study, a method to detect two gait cycle events, in healthy subjects walking at their natural speed, was developed. Angular velocity signals acquired from three devices were used to evaluate the method. The devices were the G-WALK (Reference device), two Inertial Measurement Unit (IMU), and two Apple Watch. Experimental results demonstrated the ability of the method to detect initial contact or heel-strike (HS) and pre-balance or toe-off (TO) events, regardless of the location of the sensor.

    Original languageEnglish
    Title of host publication2021 Global Medical Engineering Physics Exchanges/Pan American Health Care Exchanges, GMEPE/PAHCE 2021
    PublisherIEEE Computer Society
    ISBN (Electronic)9781728170534
    DOIs
    StatePublished - 15 Mar 2021
    Event2021 Global Medical Engineering Physics Exchanges/Pan American Health Care Exchanges, GMEPE/PAHCE 2021 - Virtual, Sevilla, Spain
    Duration: 15 Mar 202120 Mar 2021

    Publication series

    NamePan American Health Care Exchanges, PAHCE
    Volume2021-May
    ISSN (Print)2327-8161
    ISSN (Electronic)2327-817X

    Conference

    Conference2021 Global Medical Engineering Physics Exchanges/Pan American Health Care Exchanges, GMEPE/PAHCE 2021
    Country/TerritorySpain
    CityVirtual, Sevilla
    Period15/03/2120/03/21

    Bibliographical note

    Publisher Copyright:
    © 2021 IEEE.

    Keywords

    • Apple Watch
    • gait cycle
    • inertial measurement unit.

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