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Complete scanpaths analysis toolbox.

Piotr Augustyniak1, Zbigniew Mikrut

  • 1Institute of Automatics, AGH University of Science & Technology, Krakow, Poland. august@agh.edu.pl

Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
|October 20, 2007
PubMed
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This study introduces an open-source Matlab toolbox for visual experiments, aiding human perception research and visual system development. It facilitates control, data processing, and analysis using eyetracker data for scanpath analysis.

Area of Science:

  • Human Perception Physiology
  • Computer Vision
  • Human-Computer Interaction

Background:

  • Visual experiments are crucial for understanding human perception and developing advanced visual systems.
  • Existing tools may lack comprehensive functionality for control, data processing, and assessment.
  • Scanpath analysis offers insights into visual information processing.

Purpose of the Study:

  • To present a comprehensive, open-source software environment for visual experiments.
  • To support the control, data processing, and assessment of visual experiments.
  • To enable advanced scanpath analysis and integrate with eyetracker technology.

Main Methods:

  • Development of a Matlab-based toolbox with a layered architecture.
  • Integration with infra-red reflection-based eyetrackers for calibration and scanpath analysis.

Related Experiment Videos

  • Implementation of procedures for experiment control, event detection, and data summarization.

    • Main Results:

    • A complete open software environment for visual experiments is provided.
    • The toolbox supports infra-red eyetracker data for detailed scanpath analysis.
    • The layered structure facilitates efficient data handling and analysis.

    Conclusions:

    • The presented toolbox offers a valuable resource for researchers in human perception and visual systems.
    • It streamlines the process of conducting and analyzing visual experiments.
    • The software enables novel applications in man-machine interfacing and artificial vision.