We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
GazeParser: an open-source and multiplatform library for low-cost eye tracking and analysis.
- Authors
Sogo, Hiroyuki
- Abstract
Eye movement analysis is an effective method for research on visual perception and cognition. However, recordings of eye movements present practical difficulties related to the cost of the recording devices and the programming of device controls for use in experiments. GazeParser is an open-source library for low-cost eye tracking and data analysis; it consists of a video-based eyetracker and libraries for data recording and analysis. The libraries are written in Python and can be used in conjunction with PsychoPy and VisionEgg experimental control libraries. Three eye movement experiments are reported on performance tests of GazeParser. These showed that the means and standard deviations for errors in sampling intervals were less than 1 ms. Spatial accuracy ranged from 0.7° to 1.2°, depending on participant. In gap/overlap tasks and antisaccade tasks, the latency and amplitude of the saccades detected by GazeParser agreed with those detected by a commercial eyetracker. These results showed that the GazeParser demonstrates adequate performance for use in psychological experiments.
- Subjects
EYE movements; VISUAL perception; PSYCHOLOGICAL research; COGNITION research; PSYCHOLOGICAL tests
- Publication
Behavior Research Methods, 2013, Vol 45, Issue 3, p684
- ISSN
1554-351X
- Publication type
Article
- DOI
10.3758/s13428-012-0286-x