[1] Duchowski A T. A breadth-first survey of eye-tracking applications. Behavior Research Methods, Instruments, Computers, 2002, 34(4): 455-470
[2] [2] Hansen D W, Ji Q. In the eye of the beholder: a survey of models for eyes and gaze. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010, 32(3): 478-500
[3] [3] Baluja S, Pomerleau D. Non-intrusive gaze tracking using artificial neural networks. In: Proceedings of the 1994 Advances in Neural Information Processing Systems. Colorado, USA: IEEE, 1994. 753-760
[4] [4] Williams O, Blake A, Cipolla R. Sparse and semi-supervised visual mapping with the S3GP. In: Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. New York, USA: IEEE, 2006. 230-237
[5] [5] Feng L, Sugano Y, Takahiro O, Sato Y. Inferring human gaze from appearance via adaptive linear regression. In: Proceedings of the 2011 IEEE International Conference on Computer Vision. Barcelona: IEEE, 2011. 153-160
[6] [6] Funes Mora K A, Odobez, J M. Gaze estimation from multimodal kinect data. In: Proceedings of the 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. Providence, RI: IEEE, 2012. 25-30
[7] [7] Sugano Y, Matsushita Y, Sato Y. Appearance-based gaze estimation using visual saliency. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013, 35(2): 329-341
[8] [8] Lu F, Okabe T, Sugano Y, Sato Y. A head pose-free approach for appearance-based gaze estimation. In: Proceedings of the 22nd British Machine Vision Conference. Dundee, UK: BMVA Press, 2011. 126.1-126.11
[9] [9] Chen J X, Ji Q A. Probabilistic gaze estimation without active personal calibration. In: Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition. Providence, RI: IEEE, 2011. 609-616
[10] Zhu Z W, Ji Q. Novel eye gaze tracking techniques under natural head movement. IEEE Transactions on Biomedical Engineering, 2007, 54(12): 2246-2260
[11] Guestrin E D, Eizenman M. General theory of remote gaze estimation using the pupil center and corneal reflections. IEEE Transactions on Biomedical Engineering, 2006, 53(6): 1124-1133
[12] Guestrin E D. Remote, Non-contact Gaze Estimation with Minimal Subject Cooperation [Ph.D. dissertation], University of Toronto, Canada, 2010
[13] Beymer D J, Flickner M D. Eye gaze tracking using an active stereo head. In: Proceedings of the 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Wisconsin, USA: IEEE, 2003. 451-458
[14] Villanueva A, Cabeza R. A novel gaze estimation system with one calibration point. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 2008, 38(4): 1123-1138
[15] Villanueva A, Cabeza R. Evaluation of corneal refraction in a model of a gaze tracking system. IEEE Transactions on Biomedical Engineering, 2008, 55(12): 2812-2822
[16] Hutchinson T E, White K P Jr, Martin W N, Reichert K C, Frey L A. Human-computer interaction using eye-gaze input. IEEE Transactions on Systems, Man, and Cybernetics, 1989, 19(6): 1527-1534
[17] Jacob R J K. Eye Movement-Based Human-Computer Interaction Techniques: Toward Non-Command Interfaces. Norwood, NJ: Ablex Publishing Corporation, 1993. 151-190
[18] Morimoto C H, Koons D, Amir A, Flickner M. Pupil detection and tracking using multiple light sources. Image and Vision Computing, 2000, 18(4): 331-335
[19] Ebisawa Y, Ohtani M, Sugioka A. Proposal of a zoom and focus control method using an ultrasonic distance-meter for video-based eye-gaze detection under free-head conditions. In: Proceedings of the 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Amsterdam: IEEE, 1996. 523-525
[20] Sigut J F, Sidha S A. Iris center corneal reflection method for gaze tracking using visible light. IEEE Transactions on Biomedical Engineering, 2011, 58(2): 411-419
[21] Vapnik V. The Nature of Statistical Learning Theory. USA: Springer-Verlag, 1995
[22] Freeman W T, Roth M. Orientation histograms for hand gesture recognition. In: Proceedings of the 1995 IEEE Computer Society on International Workshop on Automatic Face and Gesture Recognition. Zurich, Switzerland: IEEE, 1995. 296-301
[23] Loy G, Zelinsky A. Fast radial symmetry for detecting points of interest. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003, 25(8): 959-973
[24] Li D H, Winfield D, Parkhurst D J. Starburst: a hybrid algorithm for video-based eye tracking combining feature-based and model-based approaches. In: Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. San Diego, USA: IEEE, 2005. 79-87
[25] Fischler M A, Bolles R C. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Communications of the ACM, 1981, 24(6): 381-395
[26] Baelhumeur P N, Hespanha J P, Kriegman D J. Eigenfaces vs. Fisherfaces: recognition using class specific linear projection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1997, 19(7): 711-720
[27] Dempster A P, Laird N M, Rubin D B. Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society B, 1977, 39(1): 1-38
[28] Arandjelović O, Cipolla R. Incremental learning of temporally-coherent Gaussian mixture models. In: Proceedings of the 2005 British Machine Vision Conference. Oxford, UK: BMVA Press, 2005. 759-768
[29] Calinon S, Billard A G. Incremental learning of gestures by imitation in a humanoid robot. In: Proceedings of the 2nd ACM/IEEE International Conference on Human-Robot Interaction. Arlington, VA: IEEE, 2007. 255-262
[30] Kohonen T. Self-Organizing Maps. USA: Springer, 2001.
[31] Hammer B, Villmann T. Generalized relevance learning vector quantization. Neural Networks, 2002, 15(8-9): 1059-1068