We develop novel eye-gaze tracking technologies in order to make eye-gaze tracking technology ubiquitously available for improved natural user interaction (NUI).
We develop novel eye-gaze tracking technologies in order to make eye-gaze tracking technology ubiquitously available. In particular, we investigate two approaches:
- Active IR lighting: We investigate the possibility of using multiple IR lights around a display. The key idea is to use many (more than 4) IR lights distributed around a monitor border.
- RGB + Depth: We leverage both RGB camera and depth sensor already available in Kinect or next-generation sensors. The key idea is to combine 3D head tracking and eye-gaze detection, which increases the working volume and flexibility.
- X. Xiong, Q. Cai, Z. Liu, and Z. Zhang, Eye Gaze Tracking Using an RGBD Camera: A Comparison with an RGB Solution, in The 4th International Workshop on Pervasive Eye Tracking and Mobile Eye-Based Interaction (PETMEI 2014), ACM – Association for Computing Machinery, September 2014.
- J.-B. Huang, Q. Cai, Z. Liu, N. Ahuja, and Z. Zhang, Towards Accurate and Robust Cross-Ratio based Gaze Trackers Through Learning From Simulation, in Eye Tracking Research and Applications (ETRA), ACM, March 2014.
- Z. Zhang and Q. Cai, Improving Cross-Ratio-Based Eye Tracking Techniques by Leveraging the Binocular Fixation Constraint, in Eye Tracking Research and Applications (ETRA), ACM, March 2014.