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Sparsity-Driven Micro-Doppler Feature Extraction for Dynamic Hand Gesture Recognition

Li, G; Zhang, R; Ritchie, M; Griffiths, H; (2018) Sparsity-Driven Micro-Doppler Feature Extraction for Dynamic Hand Gesture Recognition. IEEE Transactions on Aerospace and Electronic Systems , 54 (2) pp. 655-665. 10.1109/TAES.2017.2761229. Green open access

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Abstract

In this paper, a sparsity-driven method of micro-Doppler analysis is proposed for dynamic hand gesture recognition with radar sensors. First, sparse representations of the echoes reflected from dynamic hand gestures are achieved through the Gaussian-windowed Fourier dictionary. Second, the micro-Doppler features of dynamic hand gestures are extracted using the orthogonal matching pursuit algorithm. Finally, the nearest neighbor classifier is combined with the modified Hausdorff distance to recognize dynamic hand gestures based on the sparse micro-Doppler features. Experiments with real radar data show that the recognition accuracy produced by the proposed method exceeds 96% under moderate noise, and the proposed method outperforms the approaches based on principal component analysis and deep convolutional neural network with small training dataset.

Type: Article
Title: Sparsity-Driven Micro-Doppler Feature Extraction for Dynamic Hand Gesture Recognition
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/TAES.2017.2761229
Publisher version: https://doi.org/10.1109/TAES.2017.2761229
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Science & Technology, Technology, Engineering, Aerospace, Engineering, Electrical & Electronic, Telecommunications, Engineering, Orthogonal Matching Pursuit, Activity Classification, Multistatic Radar, Signatures, Decomposition, Algorithm
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10051760
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