AIOct 12, 2020

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

arXiv:2010.05480v114 citations
Originality Synthesis-oriented
AI Analysis

This is an incremental review that synthesizes existing knowledge to guide researchers and developers in the eye-tracking field.

The paper reviewed low-cost eye-tracking systems from 2010-2020, analyzing methods, algorithms, hardware, and software, including commercial and free options, and identified challenges and recommendations for future research.

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.

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