Improved video-based eye-gaze detection method

1998 ◽  
Vol 47 (4) ◽  
pp. 948-955 ◽  
Author(s):  
Y. Ebisawa
Keyword(s):  
Detection Method ◽  
Eye Gaze ◽  
Gaze Detection

Integrated Approach for Sclera Recognition and Eye Gaze Detection

2018 ◽  
Vol 6 (7) ◽  
pp. 77
Author(s):  
Snehal S. Rajole ◽  
J. V. Shinde
Keyword(s):  
Near Infrared ◽  
Eye Gaze ◽  
Integrated Approach ◽  
Error Rates ◽  
Infrared Images ◽  
Scaling Method ◽  
Extensive Simulation ◽  
Sclera Recognition ◽  
Gaze Detection ◽  
Biometric Trait

In this paper we proposed unique technique which is adaptive to noisy images for eye gaze detection as processing noisy sclera images captured at-a-distance and on-the-move has not been extensively investigated. Sclera blood vessels have been investigated recently as an efficient biometric trait. Capturing part of the eye with a normal camera using visible-wavelength images rather than near infrared images has provoked research interest. This technique involves sclera template rotation alignment and a distance scaling method to minimize the error rates when noisy eye images are captured at-a-distance and on-the move. The proposed system is tested and results are generated by extensive simulation in java.

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 Effect of DCT Image Compression on Eye Gaze Direction Detection

2018 ◽  
Vol 16 ◽  
pp. 01003 ◽  
Author(s):  
Kamil Dimililer ◽  
Yoney Kirsal Ever ◽  
Cansu Somturk ◽  
Fulden Ergun ◽  
Guner Urun ◽  
...  
Keyword(s):  
Image Compression ◽  
Discrete Cosine Transform ◽  
Eye Gaze ◽  
Back Propagation ◽  
Image Database ◽  
Research Topic ◽  
Cosine Transform ◽  
Gaze Detection ◽  
Direction Detection ◽  
The One

The prediction of eye direction detection is the one of the popular research topic in human computer interaction area. This paper defines eye gaze detection by using Discrete Cosine Transform. Actually, determining the position of eyes is difficult to estimate the location of gaze which is more challenging. The database of the suggested research is organized as gaze directions of right, left and centre. The database is created with varied ages of images. In this paper, Discrete Cosine Transform has been applied to the image database and the effect of image compression is tested by using back propagation neural networks.

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