Eyeball model construction and matching for visible-spectrum gaze tracking systems

Wen Chung Kao; Yi Chin Chiu

doi:10.1109/ICCE-Berlin.2018.8576224

Eyeball model construction and matching for visible-spectrum gaze tracking systems

Wen Chung Kao, Yi Chin Chiu

Department of Electrical Engineering

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

4 Citations (Scopus)

Abstract

The visible-spectrum gaze tracker (VSGT) provides better user experience than the traditional infra-ray (IR) based one. But the design challenge becomes considerably higher due to various projection shapes of the eyeball as well as illumination conditions. The accuracy/precision of the gaze tracker highly depends on the accuracy of the eyeball model and the corresponding model matching performance. In this paper, we propose a comprehensive algorithm for eyeball model construction and refine the matching equations. The experimental result shows the proposed algorithm significantly improves the overall eyeball matching performance.

Original language	English
Title of host publication	2018 IEEE 8th International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2018
Publisher	IEEE Computer Society
ISBN (Electronic)	9781538660959
DOIs	https://doi.org/10.1109/ICCE-Berlin.2018.8576224
Publication status	Published - 2018 Dec 13
Event	8th IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2018 - Berlin, Germany Duration: 2018 Sept 2 → 2018 Sept 5

Publication series

Name	IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin
Volume	2018-September
ISSN (Print)	2166-6814
ISSN (Electronic)	2166-6822

Other

Other	8th IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2018
Country/Territory	Germany
City	Berlin
Period	2018/09/02 → 2018/09/05

Keywords

eyeball model
gaze tracking
visible spectrum gaze tracker

ASJC Scopus subject areas

Electrical and Electronic Engineering
Industrial and Manufacturing Engineering
Media Technology

Access to Document

10.1109/ICCE-Berlin.2018.8576224

Cite this

Kao, W. C., & Chiu, Y. C. (2018). Eyeball model construction and matching for visible-spectrum gaze tracking systems. In 2018 IEEE 8th International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2018 Article 8576224 (IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin; Vol. 2018-September). IEEE Computer Society. https://doi.org/10.1109/ICCE-Berlin.2018.8576224

Eyeball model construction and matching for visible-spectrum gaze tracking systems. / Kao, Wen Chung; Chiu, Yi Chin.
2018 IEEE 8th International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2018. IEEE Computer Society, 2018. 8576224 (IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin; Vol. 2018-September).

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

Kao, WC & Chiu, YC 2018, Eyeball model construction and matching for visible-spectrum gaze tracking systems. in 2018 IEEE 8th International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2018., 8576224, IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin, vol. 2018-September, IEEE Computer Society, 8th IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2018, Berlin, Germany, 2018/09/02. https://doi.org/10.1109/ICCE-Berlin.2018.8576224

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abstract = "The visible-spectrum gaze tracker (VSGT) provides better user experience than the traditional infra-ray (IR) based one. But the design challenge becomes considerably higher due to various projection shapes of the eyeball as well as illumination conditions. The accuracy/precision of the gaze tracker highly depends on the accuracy of the eyeball model and the corresponding model matching performance. In this paper, we propose a comprehensive algorithm for eyeball model construction and refine the matching equations. The experimental result shows the proposed algorithm significantly improves the overall eyeball matching performance.",

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AB - The visible-spectrum gaze tracker (VSGT) provides better user experience than the traditional infra-ray (IR) based one. But the design challenge becomes considerably higher due to various projection shapes of the eyeball as well as illumination conditions. The accuracy/precision of the gaze tracker highly depends on the accuracy of the eyeball model and the corresponding model matching performance. In this paper, we propose a comprehensive algorithm for eyeball model construction and refine the matching equations. The experimental result shows the proposed algorithm significantly improves the overall eyeball matching performance.

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Eyeball model construction and matching for visible-spectrum gaze tracking systems

Abstract

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Keywords

ASJC Scopus subject areas

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