DocumentCode
2551098
Title
Eye gaze calibration based on support vector regression machine
Author
Huang, Yaqin ; Dong, Xiucheng ; Hao, Minggang
Author_Institution
Coll. of Electr. & Inf. Eng., Xihua Univ., Chengdu, China
fYear
2011
fDate
21-25 June 2011
Firstpage
454
Lastpage
456
Abstract
For eye gaze tracking in the paper propose the method based on the support vector regression to build up mapping function between the iris position and the eye gaze position. In addition, we use the central coordinates of the iris as input features of the support vector regression algorithm. The experimental result shows the method for eye gaze tracking is superior to the traditional tracking algorithms making polynomial as regression model in the estimation accuracy.
Keywords
eye; iris recognition; regression analysis; support vector machines; central coordinates; eye gaze calibration; eye gaze position; eye gaze tracking; iris position; mapping function; support vector regression machine; Calibration; Iris; Kernel; Polynomials; Support vector machines; Training; Training data; Calibrating; Eye gaze tracking; Iris position; Support vector regression;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation (WCICA), 2011 9th World Congress on
Conference_Location
Taipei
Print_ISBN
978-1-61284-698-9
Type
conf
DOI
10.1109/WCICA.2011.5970555
Filename
5970555
Link To Document