Abstract
Lots of tools can be used to analyze or visualize eye movement data. This chapter will overview the format of the eye movement data stored in the EyeLink EDF data files. We then show how to convert EyeLink EDF files into plain text files and then extract sample and eye events. For data visualization, this chapter will briefly discuss gaze trace, scanpath, heatmap, and interest area-based plotting techniques.
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Notes
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https://github.com/smathot/python-eyelinkparser
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https://ihrke.github.io/pypillometry/html/index.html
- 3.
To keep the script simple, we stop looking for the EFIX event when encountering the “image_offset” message. So, the script may omit the last fixation if it overlaps with this message.
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https://pandas.pydata.org/
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https://docs.python.org/3/library/re.html
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https://matplotlib.org/
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Wang, Z. (2021). Eye Movement Data Analysis and Visualization. In: Eye-Tracking with Python and Pylink. Springer, Cham. https://doi.org/10.1007/978-3-030-82635-2_8
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DOI: https://doi.org/10.1007/978-3-030-82635-2_8
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