saccades: Detection of Fixations in Eye-Tracking Data

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.

Version: 0.1-1
Depends: R (≥ 2.10), zoom
Published: 2015-03-18
Author: Titus von der Malsburg [aut, cph, cre]
Maintainer: Titus von der Malsburg <malsburg at>
License: GPL-2
NeedsCompilation: no
In views: SpatioTemporal
CRAN checks: saccades results


Reference manual: saccades.pdf
Package source: saccades_0.1-1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: saccades_0.1-1.tgz, r-oldrel: saccades_0.1-1.tgz
Old sources: saccades archive


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