Eye gaze tracking techniques for interactive applications

By Carlos Hitoshi Morimoto, Marcio R. M. Mimica. Computer Vision and Image Understanding, 2005

820 citations recorded by the source corpus.

Subfields: Ophthalmology, Radiology, Nuclear Medicine and Imaging, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/2926b80a2c592069fc2074db57404d785a2788f7

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ophthalmology

In Radiology, Nuclear Medicine and Imaging

In Human-Computer Interaction

Citations in the corpus

Gaze locking: passive eye contact detection for human-object interaction (2013, background): “Ideally, a gaze tracking system should be accurate, passive, non-intrusive, calibration-free, and robust to distance and head pose [26].”
Eye Tracking for Everyone (2016, background): “From human–computer interaction techniques [16, 23, 26] to medical diagnoses [12] to psychological studies [27] to computer vision [3, 18], eye tracking has applications in many areas [6].”
Novel Eye Gaze Tracking Techniques Under Natural Head Movement (2007, background): “Unfortunately, the extracted 2-D eye movement features also vary significantly with head position; thus, the calibrated gaze mapping function is very sensitive to head motion [10].”
In the Eye of the Beholder: A Survey of Models for Eyes and Gaze (2010, methodology): “The interpolation-based methods [11], [31], [46], [47], [69], [104], [157] that assume the mapping from image features to gaze coordinates (2D or 3D) have a particular parametric form such as a polynomial [104], [131] or a nonparametric form such as in neural networks [69], [45].”
Eye Tracking and Eye-Based Human–Computer Interaction (2014, methodology): “The development of unobtrusive camera-based systems (Morimoto and Mimica 2005) and the increase of computing power enabled gathering of eye tracking data in real time, enabling the use of gaze as a control method for people with disabilities (Ten Kate et al. 1979; Friedman et al. 1982).”
Appearance-based gaze estimation in the wild (2015, background): “Appearance-based gaze estimation is well established as a research topic in computer vision because of its relevance for several application domains, including gaze-based human-computer interaction and visual behaviour analysis [31].”
TurkerGaze: Crowdsourcing Saliency with Webcam based Eye Tracking (2015, methodology): “This approach requires a well-controlled environment and special devices such as infrared/zoom-in cameras and pan-tilt unit [25].”
Adaptive Linear Regression for Appearance-Based Gaze Estimation (2014, neutral): “Comprehensive surveys can be found in [12], [13].”