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Clustering-Driven DGS-Based Micro-Doppler Feature Extraction for Automatic Dynamic Hand Gesture Recognition

We propose in this work a dynamic group sparsity (DGS) based time-frequency feature extraction method for dynamic hand gesture recognition (HGR) using millimeter-wave radar sensors. Micro-Doppler signatures of hand gestures show both sparse and structured characteristics in time-frequency domain, bu...

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Detalles Bibliográficos
Autores principales:	Zhang, Chengjin, Wang, Zehao, An, Qiang, Li, Shiyong, Hoorfar, Ahmad, Kou, Chenxiao
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9657879/ https://www.ncbi.nlm.nih.gov/pubmed/36366232 http://dx.doi.org/10.3390/s22218535

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