FuncSim Toolbox for MATLAB: Computation of eyetracking scanpath similarity

Foerster RM, Schneider WX (2013)
Bielefeld University.

Datenpublikation
 
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Forschungsgruppe
Learning to attend in sensorimotor task
Abstract / Bemerkung
Matlab code of our functionally sequenced scanpath similarity method that compares and evaluates scanpath similarity according to a task’s inherent sequence of functional units. FuncSim reveals whether gaze characteristics are similar in the same functional units of a task, opposed to when participants are engaged in different functional units of the task. In addition, it calculates a random baseline, i.e. similarity of one of the observed scanpaths to its scrambled derivative. The toolbox should work with any version of Matlab since version 2010b and runs without any other toolboxes installed. However, it has only been tested under Windows.
Stichworte
eye tracking; scanpath
Erscheinungsjahr
2013
Page URI
https://pub.uni-bielefeld.de/record/2670491

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Foerster RM, Schneider WX. FuncSim Toolbox for MATLAB: Computation of eyetracking scanpath similarity. Bielefeld University; 2013.
Foerster, R. M., & Schneider, W. X. (2013). FuncSim Toolbox for MATLAB: Computation of eyetracking scanpath similarity. Bielefeld University. doi:10.4119/unibi/citec.2013.7
Foerster, R. M., and Schneider, W. X. (2013). FuncSim Toolbox for MATLAB: Computation of eyetracking scanpath similarity. Bielefeld University.
Foerster, R.M., & Schneider, W.X., 2013. FuncSim Toolbox for MATLAB: Computation of eyetracking scanpath similarity, Bielefeld University.
R.M. Foerster and W.X. Schneider, FuncSim Toolbox for MATLAB: Computation of eyetracking scanpath similarity, Bielefeld University, 2013.
Foerster, R.M., Schneider, W.X.: FuncSim Toolbox for MATLAB: Computation of eyetracking scanpath similarity. Bielefeld University (2013).
Foerster, Rebecca M., and Schneider, Werner X. FuncSim Toolbox for MATLAB: Computation of eyetracking scanpath similarity. Bielefeld University, 2013.
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Zuletzt Hochgeladen
2019-09-25T06:36:15Z
MD5 Prüfsumme
1611d484f185788f83bdb1beeb28f8c0

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