Article

Scalability of Random Forest in Myoelectric Control

2025-03-10

Abstract excerpt

<h4>Objective</h4> Myoelectric control systems translate electromyographic (EMG) signals into control commands, enabling immersive human-robot interactions in the real world and the Metaverse. The variability of EMG due to various confounding factors leads to significant performance degradation. Such variability can be mitigated by training a highly generalisable but massively parameterized deep neural network, w...

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Literature Corpus work: 15a5ce8b-1e8e-5b0a-95e2-aab5070ca223
DOI: 10.1101/2025.03.04.641468

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