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

October 12, 2020 Β· The Cartographer Β· πŸ› arXiv.org

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Survey/review paper β€” maps the landscape rather than implementing a method.

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"Title-pattern auto-detect: A review of the low-cost eye-tracking systems for 2010-2020"

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Authors Ildar Rakhmatulin arXiv ID 2010.05480 Category cs.AI: Artificial Intelligence Citations 14 Venue arXiv.org Last Checked 3 days ago
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.
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