Robust gaze estimation for human computer interaction

  • Authors:
  • Kang Ryoung Park

  • Affiliations:
  • Division of Media Technology, Sangmyung University, Seoul, Republic of Korea

  • Venue:
  • PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
  • Year:
  • 2006

Quantified Score

Hi-index 0.00

Visualization

Abstract

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 see-through 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.