Multi-objective user priority-based optimal tuning of myoelectric prostheses

dc.contributor.advisorSensinger, Jonathon
dc.contributor.advisorEnglehart, Kevin
dc.contributor.authorArunachalam, Anjana Gayathri
dc.date.accessioned2024-09-12T16:53:00Z
dc.date.available2024-09-12T16:53:00Z
dc.date.issued2024-08
dc.description.abstractCurrent myoelectric prosthesis control methods lack personalized tuning based on individual user preferences leading to potentially suboptimal user performance. This thesis introduces a model for personalized myoelectric prosthetic control, integrating user preferences into device dynamics through an optimization approach. Drawing on principles of computational motor control, evolutionary multi-objective optimization, and control theory, the model identifies optimal device dynamic parameters based on user preferences for effort, movement time, and reliability. Results from our simulated prosthesis model suggest that customized prosthetic devices could appreciably improve movement outcomes compared to conventional devices. This study provides a foundation for intuitive and effective prosthetic device control. These improvements may have potential applications beyond prosthesis including various human-machine interfaces.
dc.description.copyright©Anjana Gayathri Arunachalam, 2024
dc.format.extentxvi, 101
dc.format.mediumelectronic
dc.identifier.urihttps://unbscholar.lib.unb.ca/handle/1882/38108
dc.language.isoen
dc.publisherUniversity of New Brunswick
dc.rightshttp://purl.org/coar/access_right/c_abf2
dc.subject.disciplineElectrical and Computer Engineering
dc.titleMulti-objective user priority-based optimal tuning of myoelectric prostheses
dc.typemaster thesis
oaire.license.conditionother
thesis.degree.disciplineElectrical and Computer Engineering
thesis.degree.grantorUniversity of New Brunswick
thesis.degree.levelmasters
thesis.degree.nameM.Sc.E.

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