A Lightweight Human Activity Recognition Method for Ultra-wideband Radar Based on Spatiotemporal Features of Point Clouds

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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Bibliographic Details
Main Authors: Yongkun SONG, Tianxing YAN, Ke ZHANG, Xian LIU, Yongpeng DAI, Tian JIN
Format: Article
Language:English
Published: China Science Publishing & Media Ltd. (CSPM) 2025-02-01
Series:Leida xuebao
Subjects:
ultra-wideband (uwb) radar
action recognition
point clouds
pointnet++
transformer
Online Access:https://radars.ac.cn/cn/article/doi/10.12000/JR24110
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