A Category-Scalable Framework Using Millimeter-Wave Radar for Spectrogram Generation and Gesture Recognition

In gesture recognition based on millimeter-wave radar, generating spectrograms is typically independent of the actual application and designed separately. In this case, the task is simply decoupled, resulting in the generated spectrograms from radar signals not being optimally suited for the recogni...

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Veröffentlicht in:	IEEE sensors journal 2024-11, Vol.24 (22), p.38479-38491
Hauptverfasser:	Huang, Tingpei, Wang, Haotian, Gao, Rongyu, Liu, Jianhang, Li, Shibao
Format:	Artikel
Sprache:	eng
Schlagworte:	Categories Centroids Clutter Cognitive tasks Feature extraction Gesture recognition Machine learning Millimeter wave radar Millimeter waves Optical sensors Radar radar spectrogram Random access memory Self-supervised learning Semantics Sensors Signal quality Spectrogram Spectrograms
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