Effects of Training and Calibration Data on Surface Electromyogram-Based Recognition for Upper Limb Amputees

Surface electromyogram (sEMG)-based gesture recognition has emerged as a promising avenue for developing intelligent prostheses for upper limb amputees. However, the temporal variations in sEMG have rendered recognition models less efficient than anticipated. By using cross-session calibration and i...

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主要な著者:	Pan Yao, Kaifeng Wang, Weiwei Xia, Yusen Guo, Tiezhu Liu, Mengdi Han, Guangyang Gou, Chunxiu Liu, Ning Xue
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2024-01-01
シリーズ:	Sensors
主題:	surface electromyogram cross-session gesture recognition model calibration amputee intelligent prostheses
オンライン･アクセス:	https://www.mdpi.com/1424-8220/24/3/920
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