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Yuan Xu1, Rui Gao1, Ahong Yang2

  • 1School of Electrical Engineering, University of Jinan, Jinan 250022, China.

Micromachines
|November 25, 2023
PubMed
概括

这项研究引入了一种新的人类运动捕获方法,将极端学习机器 (ELM) 和有限冲动响应 (FIR) 过器与惯性导航系统 (INS) 和视觉数据融合在一起. 该方法显著提高了位置准确性,证明了其在精确的人类运动跟踪方面的有效性.

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