NDLI: Accurate gait modelling based on waveform scaling before DFT

Content Provider	IET Digital Library
Author	Han, Yi Chiew Wong, Kiing Ing Murray, Iain
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.
Starting Page	533
Ending Page	540
Page Count	8
ISSN	17519675
Volume Number	14
e-ISSN	17519683
Issue Number	Issue 8, Oct (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-spr/14/8
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-spr.2020.0005
Journal	IET Signal Processing
Publisher Date	2020-07-30
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Activity Recognition Angle Waveforms Animation Computer Animation DFT Discrete Fourier Transform Gait Analysis Gait Modelling Gait Phase Detection Gait Recognition Graphics Technique Human Bodies Integral Transforms Mathematical Expressions Medical Diagnosis Reconstructed Shank Reconstructed Waveform Waveform Scaling
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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