sEMG-Based Gesture Classifier Through DTW and Enhanced Muscle Activity Detection
Prosthetic hands are of paramount importance in the rehabilitation of upper limbs amputees. Gesture recognition using surface electromyography (sEMG) data has emerged as a great option for controlling prosthetic devices, since these data are acquired by non-intrusive sensors. This work presents a re...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10643509/ |