Gesture recognition for transhumeral prosthesis control using EMG and NIR
A key challenge associated with myoelectric prosthesis limbs is the acquisition of a good quality gesture intent signal from the residual anatomy of an amputee. In this study, the authors aim to overcome this limitation by observing the classification accuracy of the fusion of wearable electromyogra...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-06-01
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| Series: | IET Cyber-systems and Robotics |
| Subjects: | |
| Online Access: | https://digital-library.theiet.org/content/journals/10.1049/iet-csr.2020.0008 |