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DualBlink: A Wearable Device to Continuously Detect, Track, and Actuate Blinking For Alleviating Dry Eyes and Computer Vision Syndrome

Published: 30 March 2017 Publication History

Abstract

Increased visual attention, such as during computer use leads to less blinking, which can cause dry eyes—the leading cause of computer vision syndrome. As people spend more time looking at screens on mobile and desktop devices, computer vision syndrome is becoming epidemic in today's population, leading to blurry vision, fatigue, and a reduced quality of life.
One way to alleviate dry eyes is increased blinking. In this paper, we present a series of glasses-mounted devices that track the wearer's blink rate and, upon absent blinks, trigger blinks through actuation: light flashes, physical taps, and small puffs of air near the eye. We conducted a user study to evaluate the effectiveness of our devices and found that air puff and physical tap actuations result in a 36% increase in participants’ average blink rate. Air puff thereby struck the best compromise between effective blink actuations and low distraction ratings from participants. In a follow-up study, we found that high intensity, short puffs near the eye were most effective in triggering blinks while receiving only low-rated distraction and invasiveness ratings from participants. We conclude this paper with two miniaturized and self-contained DualBlink prototypes, one integrated into the frame of a pair of glasses and the other one as a clip-on for existing glasses. We believe that DualBlink can serve as an always-available and viable option to treat computer vision syndrome in the future.

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      Published In

      cover image Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
      Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies  Volume 1, Issue 1
      March 2017
      62 pages
      EISSN:2474-9567
      DOI:10.1145/3075646
      Issue’s Table of Contents
      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 the author(s) 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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      Publication History

      Published: 30 March 2017
      Accepted: 01 January 2017
      Revised: 01 January 2017
      Received: 01 November 2016
      Published in IMWUT Volume 1, Issue 1

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      Author Tags

      1. CVS
      2. Computer vision syndrome
      3. Dry eyes
      4. well-being

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      • (2024)EyeGesener: Eye Gesture Listener for Smart Glasses Interaction Using Acoustic SensingProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36785418:3(1-28)Online publication date: 9-Sep-2024
      • (2024)Interpretable, Inclusive, and Immersive Interaction for Ubiquitous AI-infused Physical SystemsCompanion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing10.1145/3675094.3677569(984-987)Online publication date: 5-Oct-2024
      • (2024)EyeEcho: Continuous and Low-power Facial Expression Tracking on GlassesProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642613(1-24)Online publication date: 11-May-2024
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      • (2023)Captivates: A Smart Eyeglass Platform for Across-Context Physiological MeasurementsGetMobile: Mobile Computing and Communications10.1145/3614214.361422027:2(18-22)Online publication date: 5-Aug-2023
      • (2023)TwinkleTwinkleProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35962387:2(1-30)Online publication date: 12-Jun-2023
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