Accurate gait modelling based on waveform scaling before DFT
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 eit...
| Main Authors: | , , |
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| Format: | Journal Article |
| Published: |
Institution of Engineering and Technology
2020
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| Online Access: | http://hdl.handle.net/20.500.11937/81450 |
| _version_ | 1848764366160134144 |
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| author | Han, Yi Chiew Wong, Kiing Ing Murray, Iain |
| author_facet | Han, Yi Chiew Wong, Kiing Ing Murray, Iain |
| author_sort | Han, Yi Chiew |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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 |
| first_indexed | 2025-11-14T11:18:13Z |
| format | Journal Article |
| id | curtin-20.500.11937-81450 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:18:13Z |
| publishDate | 2020 |
| publisher | Institution of Engineering and Technology |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-814502020-12-02T06:27:19Z Accurate gait modelling based on waveform scaling before DFT Han, Yi Chiew Wong, Kiing Ing Murray, Iain 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 2020 Journal Article http://hdl.handle.net/20.500.11937/81450 10.1049/iet-spr.2020.0005 Institution of Engineering and Technology fulltext |
| spellingShingle | Han, Yi Chiew Wong, Kiing Ing Murray, Iain Accurate gait modelling based on waveform scaling before DFT |
| title | Accurate gait modelling based on waveform scaling before DFT |
| title_full | Accurate gait modelling based on waveform scaling before DFT |
| title_fullStr | Accurate gait modelling based on waveform scaling before DFT |
| title_full_unstemmed | Accurate gait modelling based on waveform scaling before DFT |
| title_short | Accurate gait modelling based on waveform scaling before DFT |
| title_sort | accurate gait modelling based on waveform scaling before dft |
| url | http://hdl.handle.net/20.500.11937/81450 |