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One-point calibration gaze tracking method

Published: 27 March 2006 Publication History

Abstract

A novel gaze tracking method that requires only one calibration marker for personal calibration is proposed. In general, personal calibration is known to be a troublesome task, which requires the user looks at nine to twenty calibration markers in succession. Unlike traditional methods, the proposed method drastically reduces the cost of personal calibration. This method, which is called the One-Point Calibration method (OPC method), requires only one calibration marker for the personal calibration. While the user looks at the calibration marker, the difference between the user's eyeball shape and the eyeball model used in calculating the user's gaze direction is estimated, and residual error is compensated by the parameters derived by the calibration.

Reference

[1]
Ohno, T., Mukawa, N., and Yoshikawa, A. 2002. Freegaze: A gaze tracking system for everyday gaze interaction. In Proc of ETRA2002, 125--132.

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cover image ACM Conferences
ETRA '06: Proceedings of the 2006 symposium on Eye tracking research & applications
March 2006
175 pages
ISBN:1595933050
DOI:10.1145/1117309
Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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New York, NY, United States

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Published: 27 March 2006

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ETRA06
ETRA06: Eye Tracking Research and Applications
March 27 - 29, 2006
California, San Diego

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Overall Acceptance Rate 69 of 137 submissions, 50%

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  • (2022)Episode-based personalization network for gaze estimation without calibrationNeurocomputing10.1016/j.neucom.2022.09.050513:C(36-45)Online publication date: 7-Nov-2022
  • (2022)Gaze Analysis on the Effect of Intervention on Ruminative Web BrowsingAdvances in Artificial Intelligence10.1007/978-3-030-96451-1_11(118-129)Online publication date: 26-Feb-2022
  • (2019)Gaze and Eye Tracking: Techniques and Applications in ADASSensors10.3390/s1924554019:24(5540)Online publication date: 14-Dec-2019
  • (2018)State of the Art: Eye-Tracking Studies in Medical ImagingIEEE Access10.1109/ACCESS.2018.28514516(37023-37034)Online publication date: 2018
  • (2017)Corneal ImagingThe Wiley Handbook of Human Computer Interaction10.1002/9781118976005.ch21(445-514)Online publication date: 28-Dec-2017
  • (2016)Embedding an Eye Tracker Into a Surgical Microscope: Requirements, Design, and ImplementationIEEE Sensors Journal10.1109/JSEN.2015.250123716:7(2070-2078)Online publication date: Apr-2016
  • (2014)Estimating point-of-regard using corneal surface imageProceedings of the Symposium on Eye Tracking Research and Applications10.1145/2578153.2578197(251-254)Online publication date: 26-Mar-2014
  • (2013)Appearance-Based Gaze Estimation Using Visual SaliencyIEEE Transactions on Pattern Analysis and Machine Intelligence10.1109/TPAMI.2012.10135:2(329-341)Online publication date: 1-Feb-2013
  • (2013)Enhanced eye gaze direction classification using a combination of face detection, CHT and SVM2013 IEEE Signal Processing in Medicine and Biology Symposium (SPMB)10.1109/SPMB.2013.6736770(1-6)Online publication date: Dec-2013
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