Gaze Detection System by IR-LED based Camera 


Vol. 29,  No. 4, pp. 494-504, Apr.  2004


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  Abstract

tThe researches about gaze detection have been much developed with many applications. Most previous researches only rely on image processing algorithm, so they take much processing time and have many constraints. In our work, we implement it with a computer vision system setting a IR-LED based single camera. To detect the gaze position, we locate facial features, which is effectively performed with IR-LED based camera and SVM(Support Vector Machine). When a user gazes at a position of monitor, we can compute the 3D positions of those features based on 3D rotation and translation estimation and affine transform. Finally, the gaze position by the facial movements is computed from the normal vector of the plane determined by those computed 3D positions of features. In addition, we use a trained neural network to detect the gaze position by eye's movement. As experimental results, we can obtain the facial and eye gaze position on a monitor and the gaze position accuracy between the computed positions and the real ones is about 4.2 cm of RMS error.

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  Cite this article

[IEEE Style]

K. R. Park, "Gaze Detection System by IR-LED based Camera," The Journal of Korean Institute of Communications and Information Sciences, vol. 29, no. 4, pp. 494-504, 2004. DOI: .

[ACM Style]

Kang Ryoung Park. 2004. Gaze Detection System by IR-LED based Camera. The Journal of Korean Institute of Communications and Information Sciences, 29, 4, (2004), 494-504. DOI: .

[KICS Style]

Kang Ryoung Park, "Gaze Detection System by IR-LED based Camera," The Journal of Korean Institute of Communications and Information Sciences, vol. 29, no. 4, pp. 494-504, 4. 2004.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880