Eye tracking calibration on mobile devices

Y. Lei

doi:10.1145/3450341.3457989

Eye tracking calibration on mobile devices

Y. Lei

School of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

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 language	English
Title of host publication	Proceedings ETRA 2021
Subtitle of host publication	ACM Symposium on Eye Tracking Research and Applications (Adjunct proceedings), May 24-27, 2021
Editors	Andreas 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 Publication	New York, NY
Publisher	ACM
Number of pages	4
ISBN (Electronic)	9781450383578
DOIs	https://doi.org/10.1145/3450341.3457989
Publication status	Published - 25 May 2021

Keywords

Context awareness
Eye tracking
Gaze estimation

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10.1145/3450341.3457989Licence: CC BY-ND

Cite this

Lei, Y. (2021). Eye tracking calibration on mobile devices. In A. Bulling, A. Huckauf, H. Gellersen, D. Weiskopf, M. Bace, T. Hirzle, F. Alt, T. Pfeiffer, R. Bednarik, K. Krejtz, T. Blascheck, M. Burch, P. Kiefer, M. Dodd, & B. Sharif (Eds.), Proceedings ETRA 2021: ACM Symposium on Eye Tracking Research and Applications (Adjunct proceedings), May 24-27, 2021 ACM. https://doi.org/10.1145/3450341.3457989

Lei, Y. / Eye tracking calibration on mobile devices. Proceedings ETRA 2021: ACM Symposium on Eye Tracking Research and Applications (Adjunct proceedings), May 24-27, 2021. editor / Andreas 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. New York, NY : ACM, 2021.

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title = "Eye tracking calibration on mobile devices",

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. ",

keywords = "Context awareness, Eye tracking, Gaze estimation",

author = "Y. Lei",

note = "Funding: The author thanks the China Scholarship Council (CSC) for financially supporting their PhD study at University of St Andrews, UK.",

year = "2021",

month = may,

day = "25",

doi = "10.1145/3450341.3457989",

language = "English",

editor = "Andreas Bulling and Anke Huckauf and Hans Gellersen and Daniel Weiskopf and Mihai Bace and Teresa Hirzle and Florian Alt and Thies Pfeiffer and Roman Bednarik and Krzysztof Krejtz and Tanja Blascheck and Michael Burch and Peter Kiefer and Michael Dodd and Bonita Sharif",

booktitle = "Proceedings ETRA 2021",

publisher = "ACM",

address = "United States",

}

Lei, Y 2021, Eye tracking calibration on mobile devices. in A Bulling, A Huckauf, H Gellersen, D Weiskopf, M Bace, T Hirzle, F Alt, T Pfeiffer, R Bednarik, K Krejtz, T Blascheck, M Burch, P Kiefer, M Dodd & B Sharif (eds), Proceedings ETRA 2021: ACM Symposium on Eye Tracking Research and Applications (Adjunct proceedings), May 24-27, 2021. ACM, New York, NY. https://doi.org/10.1145/3450341.3457989

Eye tracking calibration on mobile devices. / Lei, Y.
Proceedings ETRA 2021: ACM Symposium on Eye Tracking Research and Applications (Adjunct proceedings), May 24-27, 2021. ed. / Andreas 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. New York, NY: ACM, 2021.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Eye tracking calibration on mobile devices

AU - Lei, Y.

N1 - Funding: The author thanks the China Scholarship Council (CSC) for financially supporting their PhD study at University of St Andrews, UK.

PY - 2021/5/25

Y1 - 2021/5/25

N2 - 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.

AB - 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.

KW - Context awareness

KW - Eye tracking

KW - Gaze estimation

UR - https://doi.org/10.1145/3450341

U2 - 10.1145/3450341.3457989

DO - 10.1145/3450341.3457989

M3 - Conference contribution

BT - Proceedings ETRA 2021

A2 - Bulling, Andreas

A2 - Huckauf, Anke

A2 - Gellersen, Hans

A2 - Weiskopf, Daniel

A2 - Bace, Mihai

A2 - Hirzle, Teresa

A2 - Alt, Florian

A2 - Pfeiffer, Thies

A2 - Bednarik, Roman

A2 - Krejtz, Krzysztof

A2 - Blascheck, Tanja

A2 - Burch, Michael

A2 - Kiefer, Peter

A2 - Dodd, Michael

A2 - Sharif, Bonita

PB - ACM

CY - New York, NY

ER -

Lei Y. Eye tracking calibration on mobile devices. In Bulling A, Huckauf A, Gellersen H, Weiskopf D, Bace M, Hirzle T, Alt F, Pfeiffer T, Bednarik R, Krejtz K, Blascheck T, Burch M, Kiefer P, Dodd M, Sharif B, editors, Proceedings ETRA 2021: ACM Symposium on Eye Tracking Research and Applications (Adjunct proceedings), May 24-27, 2021. New York, NY: ACM. 2021 doi: 10.1145/3450341.3457989

Eye tracking calibration on mobile devices

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Keywords

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