Duric, ZoranGerber, Lynn H.Shuman, Gene R.2017-01-292017-01-292016https://hdl.handle.net/1920/10626People want to live independently, but too often disabilities or advanced age robs them of the ability to do the necessary activities of daily living (ADLs). Finding relationships between electromyograms measured in the arm and movements of the hand and wrist needed to perform ADLs can help address performance deficits and be exploited in designing myoelectrical control systems for prosthetics and computer interfaces.114 pagesenCopyright 2016 Gene R. ShumanComputer scienceBiomedical engineeringArtificial intelligenceActivities of daily livingBiomechanicsClassificationElectromyogramPattern recognitionPrehensile patternUsing Myoelectric Signals to Classify Prehensile PatternsDissertation