%0 Conference Paper %1 JianNanPengYiEtAl09GCIS %A Jian nan, Chi %A Peng yi, Zhang %A Si yi, Zheng %A Chuang, Zhang %A Ying, Huang %B WRI Global Congress on Intelligent Systems (GCIS '09), Xiamen, China %C Los Alamitos, CA %D 2009 %I IEEE Computer Society %K v1500 ieee paper engineering ai multimodal interface user interaction image analysis zzz.mmi %P 133--138 %R 10.1109/GCIS.2009.338 %T Key Techniques of Eye Gaze Tracking Based on Pupil Corneal Reflection %V 2 %X Eye Gaze Tracking (EGT) is a kind of techniques that can estimate gaze direction of a person via various methods such as optics, electronics, mechanics etc. Pupil corneal reflection is one of those methods that using the vector from Purkinje image center location to pupil center location to estimate the gaze direction. A review on key techniques of EGT based on pupil corneal reflection is given in three aspects of eye feature detection, mapping model from gaze parameters to gaze direction and face pose estimation. The characteristics of two kind mapping models are analyzed and the detection method of gaze direction based on stereovision is discussed. According to a large number of recent references, we propose some major problems and their possible solutions in EGT techniques as well as its research orientation in future.

@inproceedings{JianNanPengYiEtAl09GCIS, abstract = {Eye Gaze Tracking (EGT) is a kind of techniques that can estimate gaze direction of a person via various methods such as optics, electronics, mechanics etc. Pupil corneal reflection is one of those methods that using the vector from Purkinje image center location to pupil center location to estimate the gaze direction. A review on key techniques of EGT based on pupil corneal reflection is given in three aspects of eye feature detection, mapping model from gaze parameters to gaze direction and face pose estimation. The characteristics of two kind mapping models are analyzed and the detection method of gaze direction based on stereovision is discussed. According to a large number of recent references, we propose some major problems and their possible solutions in EGT techniques as well as its research orientation in future.}, added-at = {2015-07-11T11:48:19.000+0200}, address = {Los Alamitos, CA}, author = {Jian nan, Chi and Peng yi, Zhang and Si yi, Zheng and Chuang, Zhang and Ying, Huang}, biburl = {https://www.bibsonomy.org/bibtex/22230e2b4075982d17237f1d299202fdd/flint63}, booktitle = {WRI Global Congress on Intelligent Systems (GCIS '09), Xiamen, China}, doi = {10.1109/GCIS.2009.338}, file = {IEEE Digital Library:2009/JianNanPengYiEtAl09GCIS.pdf:PDF}, groups = {public}, interhash = {0068b1f81c06fc8a4fe29dee29784864}, intrahash = {2230e2b4075982d17237f1d299202fdd}, keywords = {v1500 ieee paper engineering ai multimodal interface user interaction image analysis zzz.mmi}, pages = {133--138}, publisher = {IEEE Computer Society}, timestamp = {2018-04-16T11:49:26.000+0200}, title = {Key Techniques of Eye Gaze Tracking Based on Pupil Corneal Reflection}, username = {flint63}, volume = 2, year = 2009 }