Walking-assisted gait in rehabilitation

Hon Siong Ter, S. Parasuraman, M. K.A.Ahamed Khan, Irraivan Elamvazuthi

    Research output: Chapter in Book/Report/Conference proceedingConference PaperOther

    2 Citations (Scopus)

    Abstract

    Walkers are extensively used by individuals to improve stability and ambulatory ability. Despite common usage and prolonged existence, the basic walker design still remained unchanged. The objective of this study is to develop an instrumented walker and evaluate the force transferred through the subject hand's resultant pressures. The corresponding forces are used for the analyses of upper extremity kinetics and kinematics. Human motion tracking system is used for the kinematic analysis, which is used to modify a walker that is capable of reducing the stress experienced by the subject without changing the usage pattern of the walker. The upper extremity kinematics and kinetics data were acquired through QTM motion capturing system incorporate with Visual3D motion analysis system. The internal force and joint moment for the wrist, elbow and shoulder were determined using inverse dynamics method.

    Original languageEnglish
    Title of host publicationIEEE International Symposium on Robotics and Intelligent Sensors, IEEE IRIS 2015
    Pages257-263
    Number of pages7
    Volume76
    DOIs
    Publication statusPublished - 2015
    EventIEEE International Symposium on Robotics and Intelligent Sensors 2015 - Langkawi, Malaysia
    Duration: 18 Oct 201520 Oct 2015
    https://www.sciencedirect.com/journal/procedia-computer-science/vol/76/suppl/C (Proceedings)

    Publication series

    NameProcedia Computer Science
    PublisherElsevier
    ISSN (Print)1877-0509

    Conference

    ConferenceIEEE International Symposium on Robotics and Intelligent Sensors 2015
    Abbreviated titleIRIS 2015
    CountryMalaysia
    CityLangkawi
    Period18/10/1520/10/15
    Internet address

    Keywords

    • Force Measurement
    • Joint Angle
    • Joint Moment
    • Kinematics
    • Upper Extremity
    • Walker-Assisted Gait

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