Window length insensitive real-time EMG hand gesture classification using entropy calculated from globally parsed histograms
Electromyography (EMG) signal classification is vital to diagnose musculoskeletal abnormalities and control devices by motion intention detection. Machine learning assists both areas by classifying conditions or motion intentions. This paper proposes a novel window length insensitive EMG classificat...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2023-09-01
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| Series: | Measurement + Control |
| Online Access: | https://doi.org/10.1177/00202940231153205 |