References

Al-Rahayfeh, A. and M. Faezipour, 2013. Eye tracking and head movement detection: A state-of-art survey. IEEE. J. Trans. Eng. Health Med., 1: 2100212-2100223.
CrossRef  |  PubMed  |  Direct Link  |  

Al-Rahayfeh, A. and M. Faezipour, 2014. Application of head flexion detection for enhancing eye gaze direction classification. Proceedings of the 2014 IEEE 36th Annual International Conference Engineering in Medicine and Biology Society (EMBC’14), August 26-30, 2014, IEEE, Chicago, Illinois, USA., ISBN:978-1-4244-7929-0, pp: 966-969.

Baxter, R.H., M.J. Leach, S.S. Mukherjee and N.M. Robertson, 2015. An adaptive motion model for person tracking with instantaneous head-pose features. IEEE. Sig. Process. Lett., 22: 578-582.
CrossRef  |  Direct Link  |  

Bazrafkan, S., A. Kar and C. Costache, 2015. Eye gaze for consumer electronics: Controlling and commanding intelligent systems. IEEE. Consum. Electron. Mag., 4: 65-71.
CrossRef  |  Direct Link  |  

Chen, C. and J.M. Odobez, 2012. We are not contortionists: Coupled adaptive learning for head and body orientation estimation in surveillance video. Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR’12), June 16-21, 2012, IEEE, Providence, Rhode Island, ISBN:978-1-4673-1226-4, pp: 1544-1551.

Chinsatitf, W. and T. Saitoh, 2016. Improvement of eye detection performance for inside-out camera. Proceedings of the 2016 IEEE/ACIS 15th International Conference on Computer and Information Science ICIS’16), June 26-29, 2016, IEEE, Okayama, Japan, ISBN:978-1-5090-0807-0, pp: 1-6.

Choi, I.H. and Y.G. Kim, 2014. Head pose and gaze direction tracking for detecting a drowsy driver. Proceedings of the 2014 International Conference on Big Data and Smart Computing (BIGCOMP’14), January 15-17, 2014, IEEE, Bangkok, Thailand, ISBN:978-1-4799-3920-6, pp: 241-244.

Ebisawa, Y. and K. Fukumoto, 2013. Head-free, remote eye-gaze detection system based on pupil-corneal reflection method with easy calibration using two stereo-calibrated video cameras. IEEE. Trans. Biomed. Eng., 60: 2952-2960.
CrossRef  |  Direct Link  |  

Fanelli, G., J. Gall and L.V. Gool, 2011. Real time head pose estimation with random regression forests. Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR’11), June 20-25, 2011, IEEE, Providence, Rhode Island, ISBN:978-1-4577-0394-2, pp: 617-624.

Gego, D., C. Carreto and L. Figueiredo, 2017. Teleoperation of a mobile robot based on eye-gaze tracking. Proceedings of the 12th Iberian Conference on Information Systems and Technologies (CISTI’17), June 21-24, 2017, IEEE, Lisbon, Portugal, ISBN:978-1-5090-5047-5, pp: 1-6.

George, A. and A. Routray, 2016. Fast and accurate algorithm for eye localisation for gaze tracking in low-resolution images. IET. Comput. Vis., 10: 660-669.
CrossRef  |  Direct Link  |  

Hughes, J., S. Rhodes and B.E. Dunne, 2017. Eye gaze detection system for impaired user GUI control. Proceedings of the 2017 IEEE 60th International Midwest Symposium on Circuits and Systems (MWSCAS’17), August 6-9, 2017, IEEE, Boston, Massachusetts, USA., ISBN:978-1-5090-6390-1, pp: 1348-1351.

Jariwala, K., U. Dalal and A. Vincent, 2016. A robust eye gaze estimation using geometric eye features. Proceedings of the 3rd International Conference on Digital Information Processing, Data Mining and Wireless Communications (DIPDMWC’16), July 6-8, 2016, IEEE, Moscow, Russia, ISBN:978-1-4673-9380-5, pp: 142-147.

Jen, C.L., Y.L. Chen, Y.J. Lin, C.H. Lee and A. Tsai et al., 2016. Vision based wearable eye-gaze tracking system. Proceedings of the 2016 IEEE International Conference on Consumer Electronics (ICCE’16), January 7-11, 2016, IEEE, Las Vegas, Nevada, ISBN:978-1-4673-8363-9, pp: 202-203.

Kim, M.Y., S. Yang and D. Kim, 2012. Head-mounted binocular gaze detection for selective visual recognition systems. Sensors Actuators A: Phys., 187: 29-36.
CrossRef  |  

Lopar, M. and S. Ribaric, 2013. An overview and evaluation of various face and eyes detection algorithms for driver fatigue monitoring systems. Proceedings of the 2nd Workshop on Croatian Computer Vision (CCVW’13), September 19, 2013, University of Zagreb, Zagreb, Croatia, pp: 15-18.

Maralappanavar, S., R. Behera and U. Mudenagudi, 2016. Driver’s distraction detection based on gaze estimation. Proceedings of the 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI’16), September 21-24, 2016, IEEE, Jaipur, India, ISBN:978-1-5090-2030-0, pp: 2489-2494.

McMurrough, C.D., V. Metsis, D. Kosmopoulos, I. Maglogiannis and F. Makedon, 2013. A dataset for point of gaze detection using head poses and eye images. J. Multimodal User Interfaces, 7: 207-215.
Direct Link  |  

Mukherjee, S.S. and N.M. Robertson, 2015. Deep head pose: Gaze-direction estimation in multimodal video. IEEE. Trans. Multimedia, 17: 2094-2107.
CrossRef  |  Direct Link  |  

Nguyen, D.T., K.Y. Shin, W.O. Lee, Y.G. Kim and K.W. Kim et al., 2013. Gaze detection based on head pose estimation in smart TV. Proceedings of the 2013 International Conference on ICT Convergence (ICTC’13), October 14-16, 2013, IEEE, Jeju, South Korea, ISBN:978-1-4799-0696-3, pp: 283-288.

Palinko, O., F. Rea, G. Sandini and A. Sciutti, 2016. Robot reading human gaze: Why eye tracking is better than head tracking for human-robot collaboration. Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS’16), October 9-14 2016, IEEE, Daejeon, South Korea, ISBN:978-1-5090-3763-6, pp: 5048-5054.

Pires, B., M. Hwangbo, M. Devyver and T. Kanade, 2013. Visible-spectrum gaze tracking for sports. Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, June 23-28, 2013, IEEE, Portland, Oregon, ISBN:978-0-7695-4990-3, pp: 1005-1010.

Smith, B.A., Q. Yin, S.K. Feiner and S.K. Nayar, 2013. Gaze locking: Passive eye contact detection for human-object interaction. Proceedings of the 26th Annual ACM Symposium on User Interface Software and Technology, October 08-11, 2013, ACM, St. Andrews, Scotland, UK., ISBN:978-1-4503-2268-3, pp: 271-280.

Tripathi, S. and B. Guenter, 2017. A statistical approach to continuous self-calibrating eye gaze tracking for head-mounted virtual reality systems. Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision (WACV’17), March 24-31, 2017, IEEE, Santa Rosa, California, ISBN:978-1-5090-4823-6, pp: 862-870.

Valenti, R., N. Sebe and T. Gevers, 2012. Combining head pose and eye location information for gaze estimation. IEEE. Trans. Image Process., 21: 802-815.
CrossRef  |  Direct Link  |  

Wang, Y., T. Shen, G. Yuan, J. Bian and X. Fu, 2016. Appearance-based gaze estimation using deep features and random forest regression. Knowl. Based Syst., 110: 293-301.
Direct Link  |  

Wang, Y., T. Zhao, X. Ding, J. Peng and J. Bian et al., 2018. Learning a gaze estimator with neighbor selection from large-scale synthetic eye images. Knowl. Based Syst., 139: 41-49.
Direct Link  |  

Yip, H.M., D. Navarro-Alarcon and Y.H. Liu, 2016. Development of an eye-gaze controlled interface for surgical manipulators using eye-tracking glasses. Prceedings of the 2016 IEEE International Conference on Robotics and Biomimetics (ROBIO’16), December 3-7, 2016, IEEE, Qingdao, China, ISBN:978-1-5090-4365-1, pp: 1900-1905.

Zang, Y. and H. Liu, 2012. A real-time video-based eye tracking approach for driver attention study. Comput. Inf., 31: 805-825.
Direct Link  |  

Zhang, X., Y. Sugano, M. Fritz and A. Bulling, 2017. It’s written all over your face: Full-face appearance-based gaze estimation. Proceedings of the 2017 IEEE International Workshops on Computer Vision and Pattern Recognition (CVPRW’17), July 21-26, 2017, IEEE, Honolulu, Hawaii, ISBN:978-1-5386-0734-3, pp: 2299-2308.