Abstract

In this study, a head-mounted device was developed to track the gaze of the eyes and estimate the gaze point on the user’s visual plane. To provide a cost-effective vision tracking solution, this head-mounted device is combined with a sized endoscope camera, infrared light, and mobile phone; the devices are also implemented via 3D printing to reduce costs. Based on the proposed image pre-processing techniques, the system can efficiently extract and estimate the pupil ellipse from the camera module. A 3D eye model was also developed to effectively locate eye gaze points from extracted eye images. In the experimental results, average accuracy, precision, and recall rates of the proposed system can achieve an average of over 97%, which can demonstrate the efficiency of the proposed system. This study can be widely used in the Internet of Things, virtual reality, assistive devices, and human-computer interaction applications.

Highlights

  • With the development of technology, people can obtain knowledge

  • Because the balance eyes closemethod to the screen, the brightness the screen affected the image light

  • Can produce an imperfect ellipse that may appear distorted in various directions for a particular angle an imperfect ellipse that may appear distorted in various directions for a particular angle rather than a simple circle

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Summary

Introduction

Most of the information reception in humans is dependent on vision. Gaze tracking and point estimation are crucial topics in human-computer interaction research fields. The pupil should be isolated the image post the processing of the image. This isolation can be divided into three steps, namely automatically background, separating the front andcan. The pupil image, the lowerhalf halfof ofremoving the image imagethe mostly the. Can produce an imperfect ellipse that may appear distorted in various directions for a particular angle an imperfect ellipse that may appear distorted in various directions for a particular angle rather than a simple circle. Searched and andthe thelargest largestblack blackblock blockwas rather than a simple circle.The. Theblack blackblocks blocksininthe theimage image were were searched

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