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This project examines how individuals learn to control a surface electromyography (sEMG)-driven interface during early-stage motor training. By studying how users progressively stabilize and refine control strategies within a high-dimensional system, the research aims to improve the design of adaptive neurotechnology and human–machine interfaces. Findings may contribute to advancements in motor learning research and inform future applications in neurological rehabilitation and assistive technologies.
Lara Boyd
Polytechnic of Porto
Life Sciences
Health and Related Sciences & Technology
The University of British Columbia
Globalink Research Award
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Mitacs is funded by the Government of Canada, the Government of Alberta, the Government of British Columbia, Research Manitoba, the Government of New Brunswick, the Government of Newfoundland and Labrador, the Government of Nova Scotia, the Government of Ontario, Innovation PEI, the Government of Quebec, the Government of Saskatchewan, and the Government of Yukon.