A Pupil Location Method for WIFI-based Video-oculography System

被引：2

作者：

Chen, Xuejun ^{[1
]}

Li, Wenfang ^{[1
]}

机构：

[1] Putian Univ, Dept Elect Engn, Putian 351100, Peoples R China

来源：

AASRI CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND BIOINFORMATICS | 2012年 / 1卷

关键词：

Video-oculography (VOG); Canny; morphology; Pupil; Location; SCLERAL SEARCH COIL; EDGE-DETECTION;

D O I：

10.1016/j.aasri.2012.06.060

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Video-oculography (VOG) is one of eye movement measurement methods. A key problem of VOG is to accurately estimate the pupil center. Then a pupil location method based on morphology and Canny algorithm was proposed for a WIFI-based VOG system which was developed our latest work. Moreover, a healthy volunteer was introduced to do sinusoidal tracking test to evaluate the pupil location method. Experimental results showed that the method could well trace eye movement and meet the anticipated results with stimulation. 2012 Published by Elsevier B. V. Selection and/or peer review under responsibility of American Applied Science Research Institute

引用

页码：389 / 393

页数：5

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