EyeDroid: An Open Source Mobile Gaze Tracker on Android for Eyewear Computers

Shahram Jalaliniya, Diako Mardanbeigi, Ioannis Sintos, Daniel Garcia

    Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearchpeer-review

    Abstract

    In this paper we report on development and evaluation of a video-based mobile gaze tracker for eyewear computers. Unlike most of the previous work, our system performs all its processing workload on an Android device and sends the coordinates of the gaze point to an eyewear device through wireless connection. We propose a lightweight software architecture for Android to increase the efficiency of image processing needed for eye tracking. The evaluation of the system indicated an accuracy of 1:06 and a battery lifetime of approximate 4.5 hours.
    Original languageEnglish
    Title of host publicationUbiComp '15 Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers
    Number of pages4
    PublisherAssociation for Computing Machinery
    Publication date2015
    Pages873-879
    ISBN (Electronic)978-1-4503-3575-1
    DOIs
    Publication statusPublished - 2015
    EventThe 19th annual International Symposium on Wearable Computers - Osaka-Japan, Osaka, Japan
    Duration: 7 Sept 201511 Sept 2015
    Conference number: 19
    http://wikicfp.com/cfp/servlet/event.showcfp?eventid=42593&copyownerid=3761

    Conference

    ConferenceThe 19th annual International Symposium on Wearable Computers
    Number19
    LocationOsaka-Japan
    Country/TerritoryJapan
    CityOsaka
    Period07/09/201511/09/2015
    Internet address

    Keywords

    • Gaze tracking
    • Eyewear computer
    • Android
    • Google Glass

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