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Updated: Feb 10, 2026

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
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Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

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基于HD-sEMG的手部位置估计的人工神经网络:解决主体间和主体内部的变化

Giovanni Rolandino1, Leonardo Lion2, Taian Vieira3

  • 1Nuffield Department of Surgical Sciences, University of Oxford, Oxford, OX3 9DU, UK. giovanni.rolandino@nds.ox.ac.uk.

Journal of neuroengineering and rehabilitation
|February 8, 2026
PubMed
概括

对辅助设备的高密度表面电肌图 (HD-sEMG) 控制通过在现实条件下训练递归假肢控制网络 (RPC-Net) 来改进. 这提高了对电极移位的稳定性和对实用的肌肉-计算机接口的用户可变性.

关键词:
人工神经网络的人工神经网络电动肌图学 电动肌图学机器学习是机器学习.

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