Text Entry via Discrete and Analog Myoelectric Signals
Adam J. Sporka, Antonín Posusta, Ondrej Poláček, Tomáš Flek, Jakub Otáhal · 2014 · ASSETS '14: Proceedings of the 16th International ACM SIGACCESS Conference on Computers & Accessibility
This demo paper presents a prototype system for text entry using surface electromyography (sEMG) signals detected from muscles in the user's forearm. The system is intended for people with upper extremity disabilities who retain the ability to control their forearm muscles.…
assistive technology · text entry · electromyography · biosignals · motor impairments