Unsupervised Myocontrol of a Virtual Hand Based on a Coadaptive Abstract Motor Mapping
Gigli A, Gijsberts A, Castellini C (2022)
Publication Type: Conference contribution
Publication year: 2022
Journal
Publisher: IEEE Computer Society
Book Volume: 2022-July
Conference Proceedings Title: IEEE International Conference on Rehabilitation Robotics
Event location: Rotterdam
ISBN: 9781665488297
DOI: 10.1109/ICORR55369.2022.9896414
Abstract
Applications of simultaneous and proportional control for upper-limb prostheses typically rely on supervised machine learning to map muscle activations to prosthesis movements. This scheme often poses problems for individuals with limb differences, as they may not be able to reliably reproduce the training activations required to construct a natural motor mapping. We propose an unsupervised myocontrol paradigm that eliminates the need for labeled data by mapping the most salient muscle synergies in arbitrary order to a number of predefined prosthesis actions. The paradigm is coadaptive, in the sense that while the user learns to control the system via interaction, the system continually refines the identification of the user's muscular synergies. Our evaluation consisted of eight subjects without limb-loss performing target achievement control tasks of four actions of the hand and wrist. The subjects achieved comparable performance using the proposed unsupervised myocontrol paradigm and a supervised benchmark method, despite reporting increased mental load with the former.
Authors with CRIS profile
Andrea Gigli
Assistive Intelligent Robotics Lab
Claudio Castellini
Assistive Intelligent Robotics Lab
How to cite
APA:
Gigli, A., Gijsberts, A., & Castellini, C. (2022). Unsupervised Myocontrol of a Virtual Hand Based on a Coadaptive Abstract Motor Mapping. In IEEE International Conference on Rehabilitation Robotics. Rotterdam, NL: IEEE Computer Society.
MLA:
Gigli, Andrea, Arjan Gijsberts, and Claudio Castellini. "Unsupervised Myocontrol of a Virtual Hand Based on a Coadaptive Abstract Motor Mapping." Proceedings of the 2022 International Conference on Rehabilitation Robotics, ICORR 2022, Rotterdam IEEE Computer Society, 2022.
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