Posture-invariant myoelectric control with self-calibrating random forests

Our work promotes the use of simple, explainable, efficient and parallelisable model for posture-invariant myoelectric control.

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Publication Details

Journal
Frontiers in Neurorobotics
Published
2024-12-04
DOI
https://doi.org/10.3389/fnbot.2024.1462023
Citations
9
Primary Topic
Muscle activation and electromyography studies
Type
article
Field-Weighted Citation Impact
1.66

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article

Posture-invariant myoelectric control with self-calibrating random forests

Xinyu Jiang, Kianoush Nazarpour, Chenfei Ma
9 citations
Frontiers in Neurorobotics
Muscle activation and electromyography studies
1.66
article

Posture-invariant myoelectric control with self-calibrating random forests

Xinyu Jiang, Kianoush Nazarpour, Chenfei Ma
article en
9 citations

Abstract

Our work promotes the use of simple, explainable, efficient and parallelisable model for posture-invariant myoelectric control.

Frontiers in NeuroroboticsVol. 18
University of Edinburgh (GB)
Engineering and Physical Sciences Research Council
Life in Land
Openalex Percentile: Top 17%
Muscle activation and electromyography studies
1.66
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