Spatio-temporal Fixation Pattern Analysis (FPA) is a new method of analyzing eye movement data, developed by Mr. Jinlu Cao under the supervision of Prof. Chen Hsuan-Chih at The Chinese University of Hong Kong, and Prof. Wang Suiping at the South China Normal Univeristy. The package "fpa" is a R implementation which makes FPA analysis much easier. There are four major functions in the package: ft2fp(), get_pattern(), plot_pattern(), and lineplot(). The function ft2fp() is the core function, which can complete all the preprocessing within moments. The other three functions are supportive functions which visualize the eye fixation patterns.
|Date of publication||2016-08-31 10:21:24|
|Maintainer||Jinlu Cao <email@example.com>|
fpa-package: Spatio-temporal Fixation Pattern Analysis
ft2fp: Convert fixation time to fixation probability
get_pattern: Get the general fixation pattern
lineplot: Plot the fixation probabilities for specific details
newdata: Fixation probability data generated by ft2fp() function
pattern: Summary of fixation pattern generated by get_pattern()...
plot_pattern: Plot the general fixation pattern
rawdata: Fixation time data of an eye movement experiment
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