文献类型：期刊文献

英文题名：Influence of electrode placement on the recognition of different gesture categories using high-density sEMG

作者：Qiu, Fang[1];Liu, Xiaodong[2];Ye, Xinming[3]

机构：[1]Shanghai Univ Int Business & Econ, Sch Phys Educ & Hlth, Shanghai, Peoples R China;[2]Guangxi Univ Sci & Technol, Inst Phys Educ, Liuzhou, Peoples R China;[3]East China Univ Sci & Technol, Sch Sports Sci & Engn, Shanghai, Peoples R China

年份：2025

卷号：19

外文期刊名：FRONTIERS IN NEUROSCIENCE

收录：;WOS:【SCI-EXPANDED(收录号:WOS:001659471500001)】；

语种：英文

外文关键词：gesture category; hand gesture recognition; HD-sEMG; human-machine interaction; sampling position; SVM

摘要：High-density surface electromyography (HD-sEMG)-based gesture recognition serves as a critical interface for human-computer interaction (HCI). However, recognition accuracy exhibits a significant dependency on gesture complexity and electrode positioning. To address this, we systematically investigated the relationship between gesture types and sEMG electrode placement locations through intra-subject, inter-day, and inter-subject validation protocols. Two distinct gesture categories were analyzed, i.e., single-degree-of-freedom (single-DoF) gestures and daily-used multi-finger synergistic gestures. Using an open-access gesture dataset, HD-sEMG signals were acquired from three forearm regions: the distal wrist, mid-forearm, and proximal elbow, separately. Classification results using support vector machine (SVM) revealed that single-DoF gestures achieved peak accuracy with distal wrist signals (98.63% for intra-subject, 79.73% for inter-day, and 75.47% for inter-subject validation protocols), whereas daily-used gestures performed optimally with signals from the mid-forearm and proximal elbow regions. These findings demonstrate the specific relationship between electrode placement and gesture type, providing valuable insights for EMG-HCI design and sensor placement strategies based on the nature of the target gesture.