COMPARISON OF TIME, FREQUENCY AND TIME- FREQUENCY DOMAIN FEATURES OF EMG SIGNALS USING MACHINE LEARNING FOR MUSCLE MOVEMENT CLASSIFICATION
Electromyography (EMG) has been used extensively in motion recognition for rehabilitation or prosthetic control. One of the challenges in EMG-based motion recognition is the effective and accurate classification of EMG signals. In this study, we will compare the performance of feature extraction...
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| Format: | Theses |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/76190 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
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