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Real-time hidden gaze point correction

Published: 26 March 2014 Publication History

Abstract

The accuracy of gaze point estimation is one of the main limiting factors in developing applications that utilize gaze input. The existing gaze point correction methods either do not support real-time interaction or imply restrictions on gaze-controlled tasks and object screen locations. We hypothesize that when gaze points can be reliably correlated with object screen locations, it is possible to gather and leverage this information for improving the accuracy of gaze pointing. We propose an algorithm that uses a growing pool of such collected correlations between gaze points and objects for real-time hidden gaze point correction. We tested this algorithm assuming that any point inside of a rectangular object has equal probability to be hit by gaze. We collected real data in a user study to simulate pointing at targets of small (<30px), medium (~50px) and large (>80px) size. The results showed that our algorithm can significantly improve the hit rate especially in pointing at middle-sized targets. The proposed method is real-time, person- and task-independent and is applicable for arbitrary located objects.

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Cited By

View all
  • (2022)Weighted Pointer: Error-aware Gaze-based Interaction through Fallback ModalitiesIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2022.320309628:11(3585-3595)Online publication date: Nov-2022
  • (2019)SacCalibProceedings of the 11th ACM Symposium on Eye Tracking Research & Applications10.1145/3317956.3321553(1-10)Online publication date: 25-Jun-2019
  • (2018)Error-aware gaze-based interfaces for robust mobile gaze interactionProceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications10.1145/3204493.3204536(1-10)Online publication date: 14-Jun-2018
  • Show More Cited By

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Information & Contributors

Information

Published In

cover image ACM Conferences
ETRA '14: Proceedings of the Symposium on Eye Tracking Research and Applications
March 2014
394 pages
ISBN:9781450327510
DOI:10.1145/2578153
Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 March 2014

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Author Tags

  1. accuracy correction
  2. algorithms
  3. cumulative distribution function
  4. eye tracking
  5. gaze point
  6. pointing

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  • Research-article

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ETRA '14
ETRA '14: Eye Tracking Research and Applications
March 26 - 28, 2014
Florida, Safety Harbor

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Overall Acceptance Rate 69 of 137 submissions, 50%

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Cited By

View all
  • (2022)Weighted Pointer: Error-aware Gaze-based Interaction through Fallback ModalitiesIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2022.320309628:11(3585-3595)Online publication date: Nov-2022
  • (2019)SacCalibProceedings of the 11th ACM Symposium on Eye Tracking Research & Applications10.1145/3317956.3321553(1-10)Online publication date: 25-Jun-2019
  • (2018)Error-aware gaze-based interfaces for robust mobile gaze interactionProceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications10.1145/3204493.3204536(1-10)Online publication date: 14-Jun-2018
  • (2017)Surface Recalibration as a New Method Improving Gaze-Based Human-Computer InteractionIntelligent Human Systems Integration10.1007/978-3-319-73888-8_31(197-202)Online publication date: 31-Dec-2017
  • (2016)Prediction of gaze estimation error for error-aware gaze-based interfacesProceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research & Applications10.1145/2857491.2857493(275-278)Online publication date: 14-Mar-2016

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