A review of the low-cost eye-tracking systems for 2010-2020

TL;DR

This review analyzes low-cost eye-tracking systems from 2010 to 2020, covering methods, hardware, software, and neural network advances, highlighting challenges and future research directions.

Contribution

It provides a comprehensive overview of low-cost eye-tracking technologies, including hardware, algorithms, and neural network applications, with recommendations for future research.

Findings

Survey of commercial and free software systems

Analysis of neural network applications in eye-tracking

Identification of challenges hindering low-cost system development

Abstract

The manuscript presented an analysis of the work in the field of eye-tracking over the past ten years in the low-cost filed. We researched in detail the methods, algorithms, and developed hardware. To realization, this task we considered the commercial eye-tracking systems with hardware and software and Free software. Additionally, the manuscript considered advances in the neural network fields for eye-tracking tasks and problems which hold back the development of the low-cost eye-tracking system. special attention in the manuscript is given to recommendations for further research in the field of eye-tracking devices in the low-cost field.