A Study of Event Detection Methods in Eye-Tracking Based on Its Properties

The eye is one of means of human and computer interaction. Naturally, someone will direct their gaze to interesting objects. Eye-tracking is a technology aimed at understanding the direction of human gaze. Event-detection is a process of detecting and classifying eye movements that are divided into several types. Various studies in the field of event detection play an essential role in improving the quality of eye-tracking technology. Discussion of research properties is important to see trends in event detection research and to introduce this research to new researchers. This paper reviews some properties used in eye-tracking research, especially in the field of event detection, including eye data, sampling frequency, types of video-based eye-trackers, types of stimulus, types of eye movements, and signal denoising. This paper also discusses the development of research over the past few years and the challenges faced in event detection research. This review paper can be a guide for new researchers who wish to continue research in the field of eye-tracking, especially event detection. © 2020 IEEE.