GazeVisual: A Practical Software Tool and Web Application for Performance Evaluation of Eye Tracking Systems

The concept and functionalities of a software tool developed for in depth performance evaluation of eye gaze estimation systems is presented. The software, GazeVisual has capabilities for quantitative, statistical, and visual analysis of eye gaze data as well as generation of static and dynamic visu...

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Bibliographic Details
Published in:IEEE transactions on consumer electronics 2019-08, Vol.65 (3), p.293-302
Main Authors: Kar, Anuradha, Corcoran, Peter
Format: Article
Language:English
Subjects:
Algorithms
Applications programs
Cloud computing
Data acquisition
Data analysis
Data integrity
data quality
Data visualization
eye gaze
Eye movements
Eye tracking
Feasibility studies
Gaze tracking
Graphical user interfaces
Performance evaluation
R&D
Research & development
Software
Software development tools
Tracking systems
Visual stimuli
Visualization
visualizations
Web-application
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Summary:The concept and functionalities of a software tool developed for in depth performance evaluation of eye gaze estimation systems is presented. The software, GazeVisual has capabilities for quantitative, statistical, and visual analysis of eye gaze data as well as generation of static and dynamic visual stimuli for sample gaze data collection. This is a first of its kind cross-platform tool for gaze data analysis and evaluation. This software is made freely available to the eye gaze research and development community to provide a common framework for estimating the quality and reliability of data from eye tracking systems, especially those implemented in consumer electronics (CE) applications. The feasibility of using this software is tested through case studies which show that the software can handle eye gaze datasets obtained from several different consumer grade eye trackers. GazeVisual operates consistently, irrespective of the platform, algorithm or hardware of the eye trackers. In addition, the GazeVisual software capabilities are also made accessible via a Web-based application enabling performance evaluation of eye tracker data over a cloud-based platform.
ISSN:0098-3063
1558-4127
DOI:10.1109/TCE.2019.2912802