Investigation of gaze detection method based on eyeball center and iris center estimation using CNN

2018 ◽  
Vol 2018 (0) ◽  
pp. 2A1-C13
Author(s):  
Makoto SEI ◽  
Akira UTSUMI ◽  
Hirotake YAMAZOE ◽  
Norihiro HAGITA ◽  
Joo-Ho LEE
Keyword(s):  
Detection Method ◽  
Gaze Detection ◽  
Iris Center

scholarly journals Binocular gaze detection method using a fuzzy algorithm based on quality measurements

2014 ◽  
Vol 53 (5) ◽  
pp. 053111 ◽  
Author(s):  
Chul Woo Cho ◽  
Hyeon Chang Lee ◽  
Su Yeong Gwon ◽  
Jong Man Lee ◽  
Dongwook Jung ◽  
...  
Keyword(s):  
Detection Method ◽  
Fuzzy Algorithm ◽  
Gaze Detection ◽  
Quality Measurements

scholarly journals An easy iris center detection method for eye gaze tracking system

2015 ◽  
Vol 8 (3) ◽  
Author(s):  
Mingxin Yu ◽  
Yingzi Lin ◽  
Xiaoying Tang ◽  
Jing Xu ◽  
David Schmidt ◽  
...  
Keyword(s):  
Detection Method ◽  
Tracking System ◽  
Eye Gaze ◽  
Detection Algorithm ◽  
Detection Accuracy ◽  
Ellipse Fitting ◽  
Gaze Tracking ◽  
Edge Points ◽  
Fitting In ◽  
Iris Center

Iris center detection accuracy has great impact on eye gaze tracking system performance. This paper proposes an easy and efficient iris center detection method based on modeling the geometric relationship between the detected rough iris center and the two corners of the eye. The method fully considers four states of iris within the eye region, i.e. center, left, right, and upper. The proposed active edge detection algorithm is utilized to extract iris edge points for ellipse fitting. In addition, this paper also presents a predicted edge point algorithm to solve the decrease in ellipse fitting accuracy, when part of the iris becomes hidden from rolling into a nasal or temporal eye corner. The evaluated result of the method on our eye database shows the global average accuracy of 94.3%. Compared with existing methods, our method achieves the highest iris center detection accuracy. Additionally, in order to test the performance of the proposed method in gaze tracking, this paper presents the results of gaze estimation achieved by our eye gaze tracking system.

Solid-phase immunoelectron microscopy for rapid diagnosis of enteroviruses

1984 ◽  
Vol 42 ◽  
pp. 226-227 ◽  
Author(s):  
K. Pegg-Feige ◽  
F. W. Doane
Keyword(s):  
Electron Microscopy ◽  
Cell Culture ◽  
Immunoelectron Microscopy ◽  
Detection Method ◽  
Solid Phase ◽  
Protein A ◽  
Plant Viruses ◽  
Rapid Diagnosis ◽  
Virus Diagnosis ◽  
Antiviral Antibody

Immunoelectron microscopy (IEM) applied to rapid virus diagnosis offers a more sensitive detection method than direct electron microscopy (DEM), and can also be used to serotype viruses. One of several IEM techniques is that introduced by Derrick in 1972, in which antiviral antibody is attached to the support film of an EM specimen grid. Originally developed for plant viruses, it has recently been applied to several animal viruses, especially rotaviruses. We have investigated the use of this solid phase IEM technique (SPIEM) in detecting and identifying enteroviruses (in the form of crude cell culture isolates), and have compared it with a modified “SPIEM-SPA” method in which grids are coated with protein A from Staphylococcus aureus prior to exposure to antiserum.

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