O'Malley, Marcia K2022-11-102022-11-102020-122021-02-04December 2Britt, John Ellis. "Integration of Electromyography-Based Detection of User Intent for Control of an Assistive Glove." (2021) Master’s Thesis, Rice University. <a href="https://hdl.handle.net/1911/113889">https://hdl.handle.net/1911/113889</a>.https://hdl.handle.net/1911/113889This thesis outlines the efforts undertaken to characterize and enhance the performance of the SeptaPose Assistive and Rehabilitative (SPAR) Glove. The SPAR Glove is a semi-rigid device intended to aid users with Spinal Cord Injury (SCI) to achieve common hand poses that are necessary to complete Activities of Daily Living (ADL). Previously, operation of the glove required an experimenter to command each motor individually to actuate the glove's degrees of freedom. In this work, the control capability of the glove is expanded to enable detection of user intent to command the glove to move to pre-defined poses associated with ADLs. User intent is detected using a commercially available electromyography (EMG) arm band, the MYO, placed on the user's forearm. A control scheme is demonstrated that uses existing pattern recognition tools to infer the desired pose from the EMG activity. The ability of the detection and classification methods to distinguish between ADL poses on both able-bodied subjects and subjects with Spinal Cord Injury is explored. The glove's performance was also characterized with a newly developed Instrumented Hand, a device that holds the potential to become a new standard method of evaluating semi-rigid exoskeleton devices for the hand.application/pdfengCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.MYOGloveEMGSCIThesis2022-11-10