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  Reducing Calibration Drift in Mobile Eye Trackers by Exploiting Mobile Phone Usage

Müller, P., Buschek, D., Huang, M. X., & Bulling, A. (2019). Reducing Calibration Drift in Mobile Eye Trackers by Exploiting Mobile Phone Usage. In K. Krejtz (Ed.), Proceedings ETRA 2019. New York, NY: ACM. doi:10.1145/3314111.3319918.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0003-2BCF-5 Version Permalink: http://hdl.handle.net/21.11116/0000-0003-F4FF-B
Genre: Conference Paper

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 Creators:
Müller, Philipp1, Author              
Buschek, Daniel2, Author
Huang, Michael Xuelin1, Author              
Bulling, Andreas2, Author              
Affiliations:
1Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society, ou_1116547              
2External Organizations, ou_persistent22              

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Language(s): eng - English
 Dates: 201920192019
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: BibTex Citekey: mueller19_etra
DOI: 10.1145/3314111.3319918
 Degree: -

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Title: 11th ACM Symposium on Eye Tracking Research & Applications
Place of Event: Denver, CO, USA
Start-/End Date: 2019-06-25 - 2019-06-28

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Title: Proceedings ETRA 2019
  Abbreviation : ETRA 2019
  Subtitle : 2019 ACM Symposium On Eye Tracking Research & Applications
Source Genre: Proceedings
 Creator(s):
Krejtz, Krzysztof1, Editor
Sharif, Bonita1, Author
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: New York, NY : ACM
Pages: 9 p. Volume / Issue: - Sequence Number: 9 Start / End Page: - Identifier: ISBN: 978-1-4503-6709-7