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).
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Park, K.R., Whang, M.C., Lim, J.S. (2005). A Study on Non-intrusive Facial and Eye Gaze Detection. In: Blanc-Talon, J., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2005. Lecture Notes in Computer Science, vol 3708. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11558484_7
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DOI: https://doi.org/10.1007/11558484_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29032-2
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