Eye tracking algorithms, techniques, tools, and applications with an emphasis on machine learning and Internet of Things technologies

Author:

Klaib Ahmad F.ORCID,Alsrehin Nawaf O.,Melhem Wasen Y.,Bashtawi Haneen O.,Magableh Aws A.

Funder

Yarmouk University

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference231 articles.

1. Abdulin, E., Friedman, L., & Komogortsev, O. V. (2017). Method to detect eye position noise from video-oculography when detection of pupil or corneal reflection position fails.

2. Abraham, L., Urru, A., Wilk, M. P., Tedesco, S., Walsh, M., & O’Flynn, B. (2017). Point Tracking with Lensless Smart Sensors. 2017 IEEE SENSORS. Glasgow, UK: IEEE.

3. A study of eye tracking data based on multiple regression analysis;Ahmad;Journal of Next Generation Information Technology (JNIT),2018

4. Object recognition by template matching using correlations and phase angle method;Ahuja;International Journal of Advanced Research in Computer and Communication Engineering,2013

5. A systematic review of eye tracking research on multimedia learning;Alemdag;Computers & Education,2018

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