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EyeTab: model-based gaze estimation on unmodified tablet computers
Abstract
Despite the widespread use of mobile phones and tablets, hand-held portable devices have only recently been identified as a promising platform for gaze-aware applications. Estimating gaze on portable devices is challenging given their limited computational resources, low quality integrated front-facing RGB cameras, and small screens to which gaze is mapped. In this paper we present EyeTab, a model-based approach for binocular gaze estimation that runs entirely on an unmodified tablet. EyeTab builds on set of established image processing and computer vision algorithms and adapts them for robust and near-realtime gaze estimation. A technical prototype evaluation with eight participants in a normal indoors office setting shows that EyeTab achieves an average gaze estimation accuracy of 6.88° of visual angle at 12 frames per second.
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Interaction in 4-second bursts: the fragmented nature of attentional resources in mobile HCI
Oulasvirta, A., Tamminen, S., Roto, V., & Kuorelahti, J. (2005) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/1054972.1055101 · Cited by 576
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Baltrusaitis, T., Zadeh, A., Lim, Y. C., & Morency, L.-P. (2018) · 2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018) · doi:10.1109/fg.2018.00019 · Cited by 1,861
Design and evaluation of a foveated video streaming service for commodity client devices
Ryoo, J., Yun, K., Samaras, D., Das, S. R., & Zelinsky, G. (2016) · Proceedings of the 7th International Conference on Multimedia Systems · doi:10.1145/2910017.2910592 · Cited by 41
PupilWare: towards pervasive cognitive load measurement using commodity devices
Rafiqi, S., Wangwiwattana, C., Kim, J., Fernandez, E., Nair, S., & Larson, E. C. (2015) · Proceedings of the 8th ACM International Conference on PErvasive Technologies Related to Assistive Environments · doi:10.1145/2769493.2769506 · Cited by 30
Wangwiwattana, C., Ding, X., & Larson, E. C. (2018) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies · doi:10.1145/3161164 · Cited by 26
Metadata
- Authors
- Wood, E., & Bulling, A.
- Venue
- Proceedings of the Symposium on Eye Tracking Research and Applications
- Publisher
- ACM
- Published
- 2014-03-26
- Pages
- 207-210
- OpenAlex
- W2087862817
- Cited by
- 215
- References
- 1
- FWCI
- 16.46
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Wood, E., & Bulling, A. (2014). EyeTab: model-based gaze estimation on unmodified tablet computers. Proceedings of the Symposium on Eye Tracking Research and Applications. https://doi.org/10.1145/2578153.2578185
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