Gesture Recognition with Residual LSTM Attention Using Millimeter-Wave Radar

Gesture Recognition with Residual LSTM Attention Using Millimeter-Wave Radar

Gesture recognition technology based on millimeter-wave radar can recognize and classify user gestures in non-contact scenarios. To address the complexity of data processing with multi-feature inputs in neural networks and the poor recognition performance with single-feature inputs, this paper propo...

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Bibliographic Details
Main Authors: Weiqing Bai, Siyu Chen, Jialiang Ma, Ying Wang, Chong Han
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Sensors
Subjects:
millimeter-wave radar
gesture recognition
signal preprocessing
deep learning
Online Access:https://www.mdpi.com/1424-8220/25/2/469
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