An Implementation of Gaze Recognition System Based on SVM


The KIPS Transactions:PartB , Vol. 17, No. 1, pp. 1-8, Feb. 2010
10.3745/KIPSTB.2010.17.1.1,   PDF Download:

Abstract

The researches about gaze recognition which current user gazes and finds the location have increasingly developed to have many application. The gaze recognition of existence all about researches have got problems because of using equipment that Infrared(IR) LED, IR camera and head-mounted of high price. This study propose and implement the gaze recognition system based on SVM using a single PC Web camera. The proposed system that divide the gaze location of 36 per 9 and 4 to recognize gaze location of 4 direction and 9 direction recognize user's gaze. Also, the proposed system had apply on image filtering method using difference image entropy to improve performance of gaze recognition. The propose system was implements experiments on the comparison of proposed difference image entropy gaze recognition system, gaze recognition system using eye corner and eye's center and gaze recognition system based on PCA to evaluate performance of proposed system. The experimental results, recognition rate of 4 direction was 94.42% and 9 direction was 81.33% for the gaze recognition system based on proposed SVM. 4 direction was 95.37% and 9 direction was 82.25%, when image filtering method using difference image entropy implemented. The experimental results proved the high performance better than existed gaze recognition system.


Statistics
Show / Hide Statistics

Statistics (Cumulative Counts from September 1st, 2017)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.


Cite this article
[IEEE Style]
K. B. Lee, D. J. Kim, K. S. Hong, "An Implementation of Gaze Recognition System Based on SVM," The KIPS Transactions:PartB , vol. 17, no. 1, pp. 1-8, 2010. DOI: 10.3745/KIPSTB.2010.17.1.1.

[ACM Style]
Kue Bum Lee, Dong Ju Kim, and Kwang Seok Hong. 2010. An Implementation of Gaze Recognition System Based on SVM. The KIPS Transactions:PartB , 17, 1, (2010), 1-8. DOI: 10.3745/KIPSTB.2010.17.1.1.