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    Human gait recognition with cane assistive device using quadratic time-frequency distributions

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    Date
    2015
    Author
    Amin M.G.
    Ahmad F.
    Zhang Y.D.
    Boashash B.
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    Abstract
    In this study, the authors consider the problem of human gait recognition in the presence of a walking cane using radars. Quadratic time-frequency distributions are used to provide the local signal behaviour over frequency and to detail the changes in the Doppler and micro-Doppler signatures over time. New features that capture the intrinsic differences in the time-frequency signatures of the gait observed with and without the use of a cane are proposed. The results based on real data experiments conducted in a laboratory environment are provided that validate the effectiveness of the proposed features in discriminating gait with cane from normal human gait.
    DOI/handle
    http://dx.doi.org/10.1049/iet-rsn.2015.0119
    http://hdl.handle.net/10576/31910
    Collections
    • Electrical Engineering [‎2821‎ items ]

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