EMG-controlled Tool for Image Editing

Dean's award for outstanding bachelor thesis

This work focuses on design, implementation, and testing of an EMGcontrolled tool for image editing. Most people use various graphic editors that are usually not accessible by people with severe motor impairments. People at this level of disability interact with computer via limited set of input “signals”, e.g. pressing a button, clenching muscles, etc. Electromyographic sensors provide means of physical realization of these input channels. The goal of this work was to use a set of such sensors that enable a simple GIF image editing.