Eye tracking calibration on mobile devices

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Eye tracking has been widely used in psychology, human-computer interaction and many other fields. Recently, eye tracking based on off-the-shelf cameras has produced promising results, compared to the traditional eye tracking devices. This presents an opportunity to introduce eye tracking on mobile devices. However, eye tracking on mobile devices face many challenges, including occlusion of faces and unstable and changing distance between face and camera. This research project aims to obtain stable and accurate calibration of front-camera based eye tracking in dynamic contexts through the construction of real-world eye-movement datasets, the introduction of novel context-Awareness models and improved gaze estimation methods that can be adapted to partial faces.
Original languageEnglish
Title of host publicationProceedings ETRA 2021
Subtitle of host publicationACM symposium on eye tracking research and applications (Adjunct proceedings), May 24-27, 2021
EditorsAndreas Bulling, Anke Huckauf, Hans Gellersen, Daniel Weiskopf, Mihai Bace, Teresa Hirzle, Florian Alt, Thies Pfeiffer, Roman Bednarik, Krzysztof Krejtz, Tanja Blascheck, Michael Burch, Peter Kiefer, Michael Dodd, Bonita Sharif
Place of PublicationNew York, NY
PublisherACM
Number of pages4
ISBN (Print)9781450383578
DOIs
Publication statusPublished - 25 May 2021

Keywords

  • Context awareness
  • Eye tracking
  • Gaze estimation

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