Publication Type : Journal Article
Publisher : 2017 International Conference on Intelligent Computing and Control
Source : 2017 International Conference on Intelligent Computing and Control (I2C2), IEEE (2018)
Url : https://www.scopus.com/record/display.uri?eid=2-s2.0-85049739730&origin=resultslist
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 : Heat maps generated by eye tracking have gained a major popularity over the years. This is partly since they are easy to create and can effectively produce a data summary that is easy to understand. However, heat maps are often used inconsistently. Furthermore, most of the heat maps produced may not contain enough information for a clear interpretation. The primary objective of this work is to describe the various types of heat maps with respect to an individual's eye gaze data, while providing a means of how to use this data. An explanation on how heat maps are produced provided and how their presence can be changed with display settings change is also discussed. A spatial representation for the eye gaze data called the Voronoi diagram is also discussed and is compared with the heat maps. The experimental results suggests that Voronoi diagrams gives a better, spatial visualization which helps in many eye tracking applications than that of heat maps.
Cite this Research Publication : Akshay S., Akash M. R., and Krishnan G. S. A, “Comparative analysis of heat maps over voronoi diagram in eye gaze data visualization”, in 2017 International Conference on Intelligent Computing and Control (I2C2), 2018.