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 | |
Publication status | Published - 2018 Dec 13 |
Event | 8th IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2018 - Berlin, Germany Duration: 2018 Sep 2 → 2018 Sep 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 | Germany |
City | Berlin |
Period | 18/9/2 → 18/9/5 |
Fingerprint
Keywords
- eyeball model
- gaze tracking
- visible spectrum gaze tracker
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Industrial and Manufacturing Engineering
- Media Technology
Cite this
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
}
TY - GEN
T1 - Eyeball model construction and matching for visible-spectrum gaze tracking systems
AU - Kao, Wen Chung
AU - Chiu, Yi Chin
PY - 2018/12/13
Y1 - 2018/12/13
N2 - 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.
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.
KW - eyeball model
KW - gaze tracking
KW - visible spectrum gaze tracker
UR - http://www.scopus.com/inward/record.url?scp=85060288357&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85060288357&partnerID=8YFLogxK
U2 - 10.1109/ICCE-Berlin.2018.8576224
DO - 10.1109/ICCE-Berlin.2018.8576224
M3 - Conference contribution
AN - SCOPUS:85060288357
T3 - IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin
BT - 2018 IEEE 8th International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2018
PB - IEEE Computer Society
ER -