A Survey on Eye-Gaze Tracking Techniques
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Abstract (arXiv)
Study of eye-movement is being employed in Human Computer Interaction (HCI) research. Eye - gaze tracking is one of the most challenging problems in the area of computer vision. The goal of this paper is to present a review of latest research in this continued growth of remote eye-gaze tracking. This overview includes the basic definitions and terminologies, recent advances in the field and finally the need of future development in the field.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 22 Dec 2013.
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Citing papers per year: 2021: 1; 2022: 1; 2023: 0; 2024: 0; 2025: 2.
4 papers.
- 2021Automatic Gaze Analysis: A Survey of Deep Learning based Approachescited by 33
- 2025AutoFocus-IL: VLM-based Saliency Maps for Data-Efficient Visual Imitation Learning without Extra Human Annotationscited by 4
- 2022Eye Gaze Estimation Model Analysiscited by 0
- 2025Modular Deep Learning Framework for Assistive Perception: Gaze, Affect, and Speaker Identificationcited by 0
- 2025Modular Deep Learning Framework for Assistive Perception: Gaze, Affect, and Speaker Identification25 Nov 2025
- 2025AutoFocus-IL: VLM-based Saliency Maps for Data-Efficient Visual Imitation Learning without Extra Human Annotations23 Nov 2025
- 2022Eye Gaze Estimation Model Analysis28 Jul 2022
- 2021Automatic Gaze Analysis: A Survey of Deep Learning based Approaches12 Aug 2021