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提高人类行为意图识别的性能:分析步态识别机器学习算法和与惯性测量单位的最佳组合

Yifan Liu1, Xing Liu1, Zhongyan Wang1

  • 1Tsinghua University, Shenzhen International Graduate School, Shenzhen, 518055, China.

Computers in biology and medicine
|July 10, 2023
PubMed
概括

这项研究比较了12个机器学习算法用于人类行动意图识别. 轻GBM展示了卓越的性能,优化传感器组合的准确性和效率.

关键词:
实验设计 实验设计人类行动意图识别识别惯性测量单位是一种惯性测量单位.选择最佳解决方案选择最佳解决方案

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