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Erschienen in:
2006 | OriginalPaper | Buchkapitel
Robust Gaze Estimation for Human Computer Interaction
verfasst von : Kang Ryoung Park
Erschienen in: PRICAI 2006: Trends in Artificial Intelligence
Verlag: Springer Berlin Heidelberg
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To achieve natural human computer interface, a new gaze detection method is proposed, which allows user’s natural head and eye movement with one camera system and four IR-LED illuminators. This paper has following 4 advancements compared to previous works. First, all procedures for detecting gaze position are operated automatically. Second, although we use the seethrough glasses attached with eye detecting camera, the change of facial position cannot affect the gaze detection accuracy. Third, we use elliptical hough transform and geometric transform in order to detect accurate pupil region. Fourth, to solve the problem of ambiguous coin face-on of pupil shape, we use the EKF (Extended Kalman Filter) and can track continuous eye movement.