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Publication Type : Conference Paper
Publisher : 2017 International Conference on Intelligent Computing and Control (I2C2)
Source : 2017 International Conference on Intelligent Computing and Control (I2C2), IEEE, Coimbatore, India (2018)
Url : https://ieeexplore.ieee.org/document/8321931
Keywords : Area of interest, Gaussian function, Gridded AOI, Heat maps, Voronoi Diagram
Campus : Mysuru
School : School of Arts and Sciences
Department : Computer Science
Year : 2018
Abstract : 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.
Cite this Research Publication : Akshay S., Lakshmipriya V. P., and Sikha S., “Analysis of spatial eye gaze data for aiding gender identification”, in 2017 International Conference on Intelligent Computing and Control (I2C2), Coimbatore, India, 2018.