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用超宽带雷达和自适应加权融合技术检测人类落.

Ling Huang1, Anfu Zhu1, Mengjie Qian1

  • 1School of Electrical Engineering and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China.

Sensors (Basel, Switzerland)
|August 29, 2024
PubMed
概括

本研究引入了一种使用SE-Residual Concatenate Network (SE-RCNet) 和自适应加权聚变的新型人类落分类系统. 该系统准确地从雷达图像中区分掉落类型,达到98.1%的F1分数.

关键词:
这是一个UWB雷达.适应式加权聚变.跌倒行为识别 跌倒行为识别

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