Analysis of spatial eye gaze data for aiding gender identification

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.