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Updated: Jul 4, 2025

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping
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集体学习方法用于连续解码手关节角度

Hai Wang1, Qing Tao1, Xiaodong Zhang1,2

  • 1School of Mechanical Engineering, Xinjiang University, Urumqi 830017, China.

Sensors (Basel, Switzerland)
|January 26, 2024
PubMed
概括

本研究引入了一种集体学习模型,用于从表面肌电图 (sEMG) 信号中解码手关节角度,以改善假肢控制. 最好的模型实现了高精度,为在假肢中实现先进的同时和比例控制 (SPC) 铺平了道路.

关键词:
在 CatBoost 中使用 CatBoost.轻GBMM 轻GBM 轻GBM 轻GBM在XGBoost中使用.组合学习组合学习双手关节的角度是什么?sEMG 的意思是说.堆叠堆叠 在堆叠堆叠.

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