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Eye Control System Base on Ameliorated Hough Transform Algorithm

delete2013-09-01
delete14
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OA
AI
J
Jianbin Xiong *
W
Weichao Xu
W
Wei Liao
Q
Qinruo Wang
J
Jianqi Liu
Q
Qiong Liang
DOI:10.1109/JSEN.2013.2262934delete
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摘要

摘要

En 中文
This paper proposes an eye control system employing eye gaze tracking techniques that might be helpful for those limb disabled people with healthy eyes. Eye gaze tracking technique is attracting more and more research interest in recent years. With an aim to overcome the shortcomings of existing methods (e.g., high hardware complexity and low detection accuracy), we use the pupil-corneal reflection technique to develop an ameliorated Hough transform algorithm, which is the core unit of the proposed system. We also design a typing function as well as an efficiently blink detection function. With these functions, users can input numbers into the computer with their eyes only through a specifically designed head mount eye control device. Experimental results demonstrate that the proposed ameliorated Hough transform algorithm provides a satisfactory typing accuracy of 87%, much higher than its counterpart in the literature.
Keyword:
Gaze tracking
head-mounted display
pupil position
hough transform algorithm
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期刊

IEEE Sensors Journal 封面图
IEEE Sensors Journal
IF:
4.5
论文数:
2.2W
被引数:
7.3W

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U
University of Sheffield
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3.0W
论文数: 2.9W
被引数: 3.9W
G
Guangdong University of Petrochemical Technology
学者数:
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论文数: 1.6K
被引数: 1
G
guangdong university of technology
学者数:
3.0W
论文数: 2.0W
被引数: 36
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