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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| 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: | |
| Online Access: | https://www.mdpi.com/1424-8220/25/2/469 |
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