Differentiating hand gestures from forearm muscle activity using machine learning.
This study explored the use of forearm electromyography data to distinguish eight hand gestures. The neural network (NN) and random forest (RF) algorithms were tested on data from 10 participants. As window sizes increase from 200 ms to 1000 ms, the algorithm accuracies increased with RF from 85% to...
| Publicado en: | International Journal of Occupational Safety & Ergonomics Vol. 31; no. 1; pp. 1 - 12 |
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| Autores principales: | , , |
| Formato: | equations & formulas pictorial research tables/charts tracings Journal Article |
| Publicado: |
Taylor & Francis Ltd
Mar2025
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| Acceso en línea: | Ver este registro en EBSCOhost |