Evaluation of Input Method by Myoelectric Potential Sensor for Eye-Tracking System

Abstract

Persons with a disability like ALS or SMA patients have difficulty in moving their bodies. One way to communicate with others for them is the eye-tracking system. However, some of them cannot keep their line of sight and fail their input operations by eye-tracking. Therefore, we developed an input method by myoelectric potential for eye-tracking users. It works like a mouse click and assists the user's operation when they choose an option on the display while using eye-tracking. In this paper, we compare with three input methods: eye-tracking with time, eye-tracking with a mouse click, and eye-tracking with a myoelectric potential. Our experimental result indicated that myoelectric potential based input method is competitive with other methods.