Analysis of spatial eye gaze data for aiding gender identification

Akshay, S. and Lakshmipriya, V. P. and Sikha, S. (2017) Analysis of spatial eye gaze data for aiding gender identification. In: 2017 International Conference on Intelligent Computing and Control (I2C2).

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The aim of this paper is to identify the gender of a person using eye gaze data. Based on the eye gaze data we will generate heat map with the help of voronoi algorithm. Heat map serve as an excellent method to visualize which element of the stimulus were able to draw attention. By following this easy to read color coded scheme we will generate two templates one is to identify male and the other is to identify female. There are number of areas where eye tracking is being used. Some of the most leading application areas of eye tracking are psychology, product development, training simulators, computer usability and medical research field. The method that we are used is based on spatial eye gaze data. The technique behind our proposed system is to establish a relationship between stimulus and users eye movement behavior. The major finding of our study is how knowledge in stimulus effects eye movement.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Uncontrolled Keywords: computational geometry;data visualisation;eye;gaze tracking;image colour analysis;image motion analysis;eye tracking;spatial eye gaze data;users eye movement behavior;gender identification;heat map;stimulus;voronoi algorithm;visualization;color coded scheme;Gaze tracking;Monitoring;Tracking;Position measurement;Cameras;Layout;Computer science;Heat maps;Gaussian function;Gridded AOI;Area of Interest;Voronoi Diagram
Divisions: Department of > Computer Science
Depositing User: lpa manjunath user
Date Deposited: 16 Oct 2019 09:28
Last Modified: 16 Oct 2019 09:28

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