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Assessing the Impact of Fatigue on Gait Using Inertial Sensors

Conference Paper


Abstract


  • Conventionally subjective methods are often

    employed for the assessment of fatigue. These approaches are

    prone to error and inaccuracy. Quantitative methods in a very

    limited extent have been applied. Inertial sensors and a Six

    Minute Walking Test (6MWT) are employed to measure gait

    and posture characteristics before and after a repeated sit and

    stand task that induces a degree of fatigue. Using a set of 17

    sensors, the inertial signals corresponding to position, velocity,

    acceleration, orientation, angular velocity and angular

    acceleration are recorded based on a 23 degree of freedom

    humanoid model. The data streams obtained are subsequently

    segmented by an intrinsic clustering algorithm known as

    Minimum Message Length encoding (MML) forming a

    Gaussian Mixture Model (GMM). Several postural states

    (exemplar motion primitives) are captured in the resultant

    model, which is subsequently utilized to derive a holistic index

    corresponding to the physical ambulatory status of patient. The

    proposed method is applied to both data collected pre- and

    post-fatigue performance. The results are encouraging as they

    clearly demonstrate that fatigue affects physical status during

    6MWT. The current results are promising in the development

    of an objective fatigue assessment tool for different patients.

Publication Date


  • 2013

Citation


  • S. Ameli, D. Stirling, F. Naghdy, G. Naghdy & M. Aghmesheh, "Assessing the Impact of Fatigue on Gait Using Inertial Sensors," in 2013 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), 2013, pp. 307-312.

Scopus Eid


  • 2-s2.0-84883701341

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/1245

Start Page


  • 307

End Page


  • 312

Abstract


  • Conventionally subjective methods are often

    employed for the assessment of fatigue. These approaches are

    prone to error and inaccuracy. Quantitative methods in a very

    limited extent have been applied. Inertial sensors and a Six

    Minute Walking Test (6MWT) are employed to measure gait

    and posture characteristics before and after a repeated sit and

    stand task that induces a degree of fatigue. Using a set of 17

    sensors, the inertial signals corresponding to position, velocity,

    acceleration, orientation, angular velocity and angular

    acceleration are recorded based on a 23 degree of freedom

    humanoid model. The data streams obtained are subsequently

    segmented by an intrinsic clustering algorithm known as

    Minimum Message Length encoding (MML) forming a

    Gaussian Mixture Model (GMM). Several postural states

    (exemplar motion primitives) are captured in the resultant

    model, which is subsequently utilized to derive a holistic index

    corresponding to the physical ambulatory status of patient. The

    proposed method is applied to both data collected pre- and

    post-fatigue performance. The results are encouraging as they

    clearly demonstrate that fatigue affects physical status during

    6MWT. The current results are promising in the development

    of an objective fatigue assessment tool for different patients.

Publication Date


  • 2013

Citation


  • S. Ameli, D. Stirling, F. Naghdy, G. Naghdy & M. Aghmesheh, "Assessing the Impact of Fatigue on Gait Using Inertial Sensors," in 2013 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), 2013, pp. 307-312.

Scopus Eid


  • 2-s2.0-84883701341

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/1245

Start Page


  • 307

End Page


  • 312