Screen Guided Training Does Not Capture Goal-Oriented Behaviors: Learning Myoelectric Control Mappings From Scratch Using Context Informed Incremental Learning

Screen Guided Training Does Not Capture Goal-Oriented Behaviors: Learning Myoelectric Control Mappings From Scratch Using Context Informed Incremental Learning

Human-machine interfaces based on myoelectric signals typically use screen-guided training (SGT) for model calibration, but this approach fails to capture realistic user behaviors. This study evaluates a user-in-the-loop context-informed incremental learning (CIIL) framework, comparing SGT, SGT foll...

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Bibliographic Details
Main Authors: Evan Campbell, Ethan Eddy, Xavier Isabel, Scott Bateman, Benoit Gosselin, Ulysse Cote-Allard, Erik Scheme
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Subjects:
Electromyography (EMG)
deep learning
incremental learning
gesture recognition
zero-shot
Online Access:https://ieeexplore.ieee.org/document/10802919/
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https://ieeexplore.ieee.org/document/10802919/

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