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).
Original language | English |
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Pages (from-to) | 237-247 |
Number of pages | 11 |
Journal | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
Volume | 3339 |
DOIs | |
State | Published - 2004 |
Event | 17th Australian Joint Conference on Artificial Intelligence, AI 2004: Advances in Artificial Intelligence - Cairns, Australia Duration: 4 Dec 2004 → 6 Dec 2004 |
Keywords
- Facial and Eye Movement
- Gaze Detection