Posture-invariant myoelectric control with self-calibrating random forests

Posture-invariant myoelectric control with self-calibrating random forests

IntroductionMyoelectric control systems translate different patterns of electromyographic (EMG) signals into the control commands of diverse human-machine interfaces via hand gesture recognition, enabling intuitive control of prosthesis and immersive interactions in the metaverse. The effect of arm...

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Bibliographic Details
Main Authors: Xinyu Jiang, Chenfei Ma, Kianoush Nazarpour
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-12-01
Series:Frontiers in Neurorobotics
Subjects:
EMG
myoelectric control
arm position
transfer learning
self-calibration
Online Access:https://www.frontiersin.org/articles/10.3389/fnbot.2024.1462023/full

Internet

https://www.frontiersin.org/articles/10.3389/fnbot.2024.1462023/full

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