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Published in:
2016 | OriginalPaper | Chapter
A Study on Human Interface for Communication Using Electrooculogram Signals
Authors : Kazuya Gondou, Hiroki Tamura, Koichi Tanno
Published in: Genetic and Evolutionary Computing
Publisher: Springer International Publishing
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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.