Practical gaze point computing method by 3D position estimation of facial and eye features

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1 Scopus citations

Abstract

This paper addresses the accurate gaze detection method by tracking facial and eye movement at the same time. For that, we implemented our gaze detection system with a wide and a narrow view stereo camera. In order to make it easier to detect the facial and eye feature positions, the dual IR-LED illuminators are also used for our system. The performance of detecting facial features could be enhanced by Support Vector Machine and the eye gaze position on a monitor is computed by a multi-layered perceptron. Experimental results show 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).

Keywords

  • Facial and Eye Movement
  • Gaze Detection

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