This paper introduces the design of a wireless prosthetic hand with surface electromyography (sEMG)-based control and force feedback.
Abstract—This paper introduces the design of a wireless prosthetic hand with surface electromyography (sEMG)-based control and force feedback.
An sEMG-Controlled Prosthetic Hand Featuring a Tiny CNN-Transformer Model and Force Feedback ; Savanna Blade ; Zongyan Yao ; Yinfei Li.
Co-authors ; An sEMG-Controlled Prosthetic Hand Featuring a Tiny CNN-Transformer Model and Force Feedback. S Blade, Z Yao, Y Hou, Y Li, S Zhou, Y Wang, X Liu.
Zhou, Y. Wang, and X. Liu, "An sEMG-Controlled Prosthetic Hand Featuring a Tiny CNN-Transformer Model and Force Feedback", IEEE Biomedical Circuits and ...
Jul 7, 2023 · Designing efficient and labor-saving prosthetic hands requires powerful hand gesture recognition algorithms that can achieve high accuracy ...
An sEMG-Controlled Prosthetic Hand Featuring a Tiny CNN-Transformer Model and Force Feedback. 2023 IEEE Biomedical Circuits and Systems Conference (BioCAS).
Nov 7, 2024 · The findings highlight the effectiveness of Transfer Learning in creating adaptive, user-specific models for sEMG-based prosthetic hands.
Missing: Tiny Force
This paper introduces the design of a wireless prosthetic hand with surface electromyography (sEMG)-based control and force feedback.
Enhancing sEMG-Based Finger Motion Prediction with CNN-LSTM Regressors for Controlling a Hand Exoskeleton. by. Mirco Vangi.