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EyeGuardian: a framework of eye tracking and blink detection for mobile device users

Published: 28 February 2012 Publication History

Abstract

Computer Vision Syndrome (CVS) is a common problem in the "Information Age", and it is becoming more serious as mobile devices (e.g. smartphones and tablet PCs) with small, low-resolution screens are outnumbering the home computers. The simplest way to avoid CVS is to blink frequently. However, most people do not realize that they blink less and some do not blink at all in front of the screen. In this paper, we present a mobile application that keeps track of the reader's blink rate and prods the user to blink if an exceptionally low blink rate is detected. The proposed eye detection and tracking algorithm is designed for mobile devices and can keep track of the eyes in spite of camera motion. The main idea is to predict the eye position in the camera frame using the feedback from the built-in accelerometer. The eye tracking system was built on a commercial Tablet PC. The experimental results consistently show that the scheme can withstand very aggressive mobility scenarios.

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cover image ACM Conferences
HotMobile '12: Proceedings of the Twelfth Workshop on Mobile Computing Systems & Applications
February 2012
92 pages
ISBN:9781450312073
DOI:10.1145/2162081
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 28 February 2012

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HotMobile '12 Paper Acceptance Rate 14 of 68 submissions, 21%;
Overall Acceptance Rate 96 of 345 submissions, 28%

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View all
  • (2024)Aportes de las intervenciones educativas en el manejo del Síndrome Visual Informático: una revisión de literaturaRevista Ciencia y Cuidado10.22463/17949831.401521:1Online publication date: 1-Jan-2024
  • (2023)TwinkleTwinkleProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35962387:2(1-30)Online publication date: 12-Jun-2023
  • (2023)TFOS Lifestyle: Impact of the digital environment on the ocular surfaceThe Ocular Surface10.1016/j.jtos.2023.04.00428(213-252)Online publication date: Apr-2023
  • (2022)Breaking Edge ShacklesProceedings of the 20th ACM Conference on Embedded Networked Sensor Systems10.1145/3560905.3568546(1-15)Online publication date: 6-Nov-2022
  • (2022)Detection & recognition of veiled and unveiled human face on the basis of eyes using transfer learningMultimedia Tools and Applications10.1007/s11042-022-13402-082:3(4257-4287)Online publication date: 25-Jul-2022
  • (2022)A survey on visual and non-visual features in Driver’s drowsiness detectionMultimedia Tools and Applications10.1007/s11042-022-13150-181:26(38175-38215)Online publication date: 23-Apr-2022
  • (2021)Design Guidelines of a Computer-Based Intervention for Computer Vision Syndrome: Focus Group Study and Real-World DeploymentJournal of Medical Internet Research10.2196/2209923:3(e22099)Online publication date: 29-Mar-2021
  • (2021)BlinkListenerProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/34635215:2(1-27)Online publication date: 24-Jun-2021
  • (2021)Eye Blinking Detection Test2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)10.1109/ICAC3N53548.2021.9725633(1734-1736)Online publication date: 17-Dec-2021
  • (2021)A Computer Vision Approach for Automated Driver Assistance System2021 International Conference on Intelligent Technologies (CONIT)10.1109/CONIT51480.2021.9498356(1-5)Online publication date: 25-Jun-2021
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