HCAug 2, 2017

Noninvasive Corneal Image-Based Gaze Measurement System

arXiv:1708.00908v12 citations
Originality Synthesis-oriented
AI Analysis

This work addresses the need for more accessible and user-friendly gaze tracking, particularly in situations like experiments with young children, though it appears incremental in method.

The paper tackles the problem of gaze tracking requiring individual calibration or wearable devices by proposing a noninvasive system based on corneal image analysis, achieving robust performance without complex calibrations.

Gaze tracking is an important technology as the system can give information about a person from what and where the person is seeing. There have been many attempts to make robust and accurate gaze trackers using either monitor or wearable devices. However, those contraptions often require fine individual calibration per session and/or require a person wearing a device, which may not be suitable for certain situations. In this paper, we propose a robust and a completely noninvasive gaze tracking system that involves neither complex calibrations nor the use of wearable devices. We achieve this via direct eye reflection analysis by building a real-time system that effectively enables it. We also show several interesting applications for our system including experiments with young children.

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