Effects of Augmented Reality Training on Pattern Recognition Control in Myoelectric Prostheses Users: A Case Study
DOI:
https://doi.org/10.57922/mec.2483Abstract
Myoelectric prosthesis control has seen significant advancements, with pattern recognition (PR) standing out as one of the key innovations. However, achieving a consistent level of control using PR demands extensive training. In this work, we present a case study to explore an augmented reality (AR) system for myoelectric control training. An individual with a transradial amputation underwent nine training sessions using an AR system over a month, and we assessed his progress by analyzing metrics collected during functional tasks. Throughout the training sessions, performance consistently improved, as indicated by completion rates and average task completion times. This improvement was accompanied by a reported decrease in mental workload, as measured by the PROS-TLX. These results suggest that training using AR systems has the potential to enhance myoelectric prosthesis control.
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Published
2024-08-15
How to Cite
[1]
S. Soliman, “Effects of Augmented Reality Training on Pattern Recognition Control in Myoelectric Prostheses Users: A Case Study”, MEC Symposium, Aug. 2024.
Conference Proceedings Volume
Section
Clinical Research Studies
