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    Accurate gait modelling based on waveform scaling before DFT

    81512.pdf (1.421Mb)
    Access Status
    Open access
    Authors
    Han, Yi Chiew
    Wong, Kiing Ing
    Murray, Iain
    Date
    2020
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Han, Y.C. and Wong, K.I. and Murray, I. 2020. Accurate gait modelling based on waveform scaling before DFT. IET Signal Processing. 14 (8): pp. 533-540.
    Source Title
    IET Signal Processing
    DOI
    10.1049/iet-spr.2020.0005
    ISSN
    1751-9675
    Faculty
    Curtin International
    School
    Curtin International
    Remarks

    © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

    URI
    http://hdl.handle.net/20.500.11937/81450
    Collection
    • Curtin Research Publications
    Abstract

    Gait modelling is essential for many applications including animation, activity recognition, medical diagnosis, and robotics. Many researchers have worked on mathematically express the movement of human bodies. At the current stage, the reconstructed waveforms from the mathematical expressions either represent smoothened waveforms, noisy, or require a high number of computations. In this study, the thigh and shank angle waveforms are time and amplitude scaled before performing a discrete Fourier transform (DFT). By doing so, the correlation coefficient between the original and reconstructed waveforms can be improved without increasing the number of harmonics. The shank's angular velocity is also recalculated from the reconstructed shank's angle waveform for gait phase detection, and shows accurate results in heel and toe strikes estimation when compared to the original shank's angular velocity. Additionally, the harmonic components of the waveforms are used for gait recognition. Experimental results show that it is useful to time and amplitude-scale the angle waveforms to ‘enlarge’ the distinctive regions of the angle waveforms for better classification accuracy

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