Biometric student identification using low-frequency eye tracker

This paper contains an analysis of the most widespread identification methods used in e-learning systems, revealing their benefits and drawbacks. Results obtained in our study of person identification based on the analysis of eye-tracking data are presented. A scheme of possible integration of identification method based on eye-tracking techniques into e-learning systems is described.