Effect of sparsity-aware time–frequency analysis on dynamic hand gesture classification with radar micro-Doppler signatures

Li, G., Zhang, S., Fioranelli, F. and Griffiths, H. (2018) Effect of sparsity-aware time–frequency analysis on dynamic hand gesture classification with radar micro-Doppler signatures. IET Radar, Sonar and Navigation, 12(8), pp. 815-820. (doi:10.1049/iet-rsn.2017.0570)

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Abstract

Dynamic hand gesture recognition is of great importance in human-computer interaction. In this study, the authors investigate the effect of sparsity-driven time-frequency analysis on hand gesture classification. The time-frequency spectrogram is first obtained by sparsity-driven time-frequency analysis. Then three empirical micro-Doppler features are extracted from the time-frequency spectrogram and a support vector machine is used to classify six kinds of dynamic hand gestures. The experimental results on measured data demonstrate that, compared to traditional time-frequency analysis techniques, sparsity-driven time-frequency analysis provides improved accuracy and robustness in dynamic hand gesture classification.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Fioranelli, Dr Francesco
Authors: Li, G., Zhang, S., Fioranelli, F., and Griffiths, H.
College/School:College of Science and Engineering > School of Engineering > Systems Power and Energy
Journal Name:IET Radar, Sonar and Navigation
Publisher:Institution of Engineering and Technology
ISSN:1751-8784
ISSN (Online):1751-8792
Published Online:27 April 2018
Copyright Holders:Copyright © 2018 The Institution of Engineering and Technology
First Published:First published in IET Radar, Sonar and Navigation 12(8):815-820
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher

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