Random Channel Masks for Regularization of Least Squares-Based Finger EMG-Force Modeling to Improve Cross-Day Performance

• Main Authors: Xinyu Jiang (Author), Xiangyu Liu (Author), Jiahao Fan (Author), Chenyun Dai (Author), Edward A. Clancy (Author), Wei Chen (Author)
• 格式: 图书
• 出版: IEEE, 2022-01-01T00:00:00Z.
• 主题: article
• 在线阅读: Connect to this object online.

Estimating the finger forces from surface electromyography (sEMG) is essential for diverse applications (e.g., human-machine interfacing). The performance of pre-trained sEMG-force models degenerates significantly when applied on a second day, due to the large cross-day variation of sEMG characteris...