Medicine and Health

Accelerating eye movement research via accurate and affordable smartphone eye tracking

N. Valliappan, N. Dai, et al.

Discover an innovative smartphone-based eye tracking method developed by a team of researchers from Google Research that rivals high-end mobile eye trackers at a fraction of the cost. This groundbreaking technique not only provides remarkable accuracy but also uncovers potential applications in reading comprehension and healthcare.

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Index

Abstract

This paper presents a novel method for accurate and affordable smartphone-based eye tracking using machine learning. The researchers demonstrate that their method achieves accuracy comparable to state-of-the-art mobile eye trackers that are 100 times more expensive. Using data from over 100 participants, they replicate key findings from prior eye movement research and show the utility of their method for detecting reading comprehension difficulties. This approach has the potential to significantly scale eye movement research and unlock new applications in vision research, accessibility, and healthcare.

Publisher

Nature Communications

Published On

Sep 11, 2020

Authors

Nachiappan Valliappan, Na Dai, Ethan Steinberg, Junfeng He, Kantwon Rogers, Venky Ramachandran, Pingmei Xu, Mina Shojaeizadeh, Li Guo, Kai Kohlhoff, Vidhya Navalpakkam

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