Surface Electromyography (sEMG)-based Thumb-tip Angle and Force Estimation Using Artificial Neural Network for Prosthetic Thumb
Author:
Publisher
Elsevier BV
Subject
Applied Mathematics
Reference20 articles.
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4. Park W., Kwon S., Lee H., Kim J., 2009. “Thumb-tip force estimation from sEMG and a musculoskeletal model for real-time finger prosthesis,” 2009 IEEE International Conference on Rehabilitation Robotics, pp. 305-310.
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