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.


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


0.1-1 by Titus von der Malsburg, 6 years ago

Report a bug at

Browse source code at

Authors: Titus von der Malsburg [aut, cph, cre]

Documentation:   PDF Manual  

Task views: Handling and Analyzing Spatio-Temporal Data

GPL-2 license

Depends on zoom

See at CRAN