saccades: Detection of Fixations in Eye-Tracking Data

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Functions for detecting eye fixations in raw eye-tracking data. The detection is done using a velocity-based algorithm for saccade detection proposed by Ralf Engbert and Reinhold Kliegl in 2003. The algorithm labels segments as saccades when the velocity of the eye movement exceeds a certain threshold. Anything between two saccades is considered a fixation. Thus the algorithm is not appropriate for data containing episodes of smooth pursuit eye movements.

Author
Titus von der Malsburg [aut, cph, cre]
Date of publication
2015-03-18 07:02:18
Maintainer
Titus von der Malsburg <malsburg@posteo.de>
License
GPL-2
Version
0.1-1
URLs

View on CRAN

Man pages

calculate.summary
Calculate Summary Statistics for a Set of Fixations.
detect.fixations
Detect Fixations in a Stream of Raw Eye-Tracking Samples
diagnostic.plot
Interactive Diagnostic Plot of Samples and Fixations
fixations
Fixations Detected in a Stream of Raw Positions
saccades
Detection of Fixations in Raw Eye-Tracking Data
samples
Samples of Eye Positions as Recorded with an Eye-Tracker

Files in this package

saccades
saccades/NAMESPACE
saccades/data
saccades/data/samples.rda
saccades/data/fixations.rda
saccades/R
saccades/R/saccade_recognition.R
saccades/R/diagnostics.R
saccades/MD5
saccades/DESCRIPTION
saccades/man
saccades/man/fixations.Rd
saccades/man/diagnostic.plot.Rd
saccades/man/detect.fixations.Rd
saccades/man/samples.Rd
saccades/man/calculate.summary.Rd
saccades/man/saccades.Rd