An eye-gaze input system using information on eye movement history

Authors:
Kiyohiko Abe;Shoichi Ohi;Minoru Ohyama
Affiliations:
College of Engineering, Kanto Gakuin University, Yokohama, Kanagawa, Japan;School of Engineering, Tokyo Denki University, Tokyo, Japan;School of Information Environment, Tokyo Denki University, Inzai-shi, Chiba, Japan
Venue:
UAHCI'07 Proceedings of the 4th international conference on Universal access in human-computer interaction: ambient interaction
Year:
2007

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Abstract

We have developed an eye-gaze input system for people with severe physical disabilities such as amyotrophic lateral sclerosis. The system utilizes a personal computer and a home video camera to detect eye gaze under natural light. It also compensates for measurement errors caused by head movements; in other words, it can detect the eye gaze with a high degree of accuracy. We have also developed a new gaze selection method based on the eye movement history of a user. Using this method, users can rapidly input text using eye gazes.