CBAM-Enhanced CNN-LSTM with Improved DBSCAN for High-Precision Radar-Based Gesture Recognition

In recent years, radar-based gesture recognition technology has been widely applied in industrial and daily life scenarios. However, increasingly complex application scenarios have imposed higher demands on the accuracy and robustness of gesture recognition algorithms, and challenges such as clutter...

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Detalhes bibliográficos

Principais autores:	Shiwei Yi, Zhenyu Zhao, Tongning Wu
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2026-03-01
coleção:	Sensors
Assuntos:	gesture recognition millimeter wave radar CBAM-enhanced CNN-LSTM (CECL) clutter suppression wavelet threshold algorithm
Acesso em linha:	https://www.mdpi.com/1424-8220/26/6/1835
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