A Lightweight Human Activity Recognition Method for Ultra-wideband Radar Based on Spatiotemporal Features of Point Clouds
Low-frequency Ultra-WideBand (UWB) radar offers significant advantages in the field of human activity recognition owing to its excellent penetration and resolution. To address the issues of high computational complexity and extensive network parameters in existing action recognition algorithms, this...
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Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
China Science Publishing & Media Ltd. (CSPM)
2025-02-01
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Series: | Leida xuebao |
Subjects: | |
Online Access: | https://radars.ac.cn/cn/article/doi/10.12000/JR24110 |
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