A Study on Human Interface for Communication Using Electrooculogram Signals

摘要

Human interface using eyes for a person with disabilities has been researched. Almost ALS (Amyotrophic Lateral Sclerosis) patient can move facial muscle and eyeball. Therefore, human interface using eyes is the communication tool for a person with disabilities. Human interface is very important when aiming at improvement of quality of life. There are various gaze recognition methods. For example, camera [1] and search coil method [2] are general techniques. In this paper, we propose a human interface for communication using electrooculogram method by 4 electrodes. From the simulation results, our system has high accuracy of eyes pattern classification.