A study on non-intrusive facial and eye gaze detection

  • Authors:
  • Kang Ryoung Park;Min Cheol Whang;Joa Sang Lim

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

  • Venue:
  • ACIVS'05 Proceedings of the 7th international conference on Advanced Concepts for Intelligent Vision Systems
  • Year:
  • 2005

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Abstract

To detect accurate human gaze position is vey difficult, but important problem for many applications. For that, it is requisite to detect the facial and eye movement accurately and fastly. So, we implemented a real-time gaze tracking system based on facial and eye movement. The performance of detecting facial features could be enhanced by Support Vector Machine and the eye gaze position on a monitor could be generalized by a multi-layered perceptron. And two gaze positions were geometically summed and final gaze position was acquired. Experimental results showed that the RMS error of gaze detection is about 2.4 degrees (1.68 degrees on X axis and 1.71 degrees on Y axis at the Z distance of 50 cm).