eyetools: Analyse Eye Data
Enables the automation of actions across the pipeline, including
initial steps of transforming binocular data and gap repair to event-based
processing such as fixations, saccades, and entry/duration in Areas of
Interest (AOIs). It also offers visualisation of eye movement and AOI
entries. These tools take relatively raw (trial, time, x, and y form) data
and can be used to return fixations, saccades, and AOI entries and time spent
in AOIs. As the tools rely on this basic data format, the functions can work
with data from any eye tracking device. Implements fixation and saccade
detection using methods proposed by Salvucci and Goldberg (2000)
<doi:10.1145/355017.355028>.
| Version: |
0.8.1 |
| Depends: |
R (≥ 2.10) |
| Imports: |
ggforce, ggplot2, viridis, glue, hdf5r, lifecycle, magick, pbapply, rlang, stats, utils, zoo |
| Suggests: |
knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: |
2024-12-19 |
| DOI: |
10.32614/CRAN.package.eyetools |
| Author: |
Tom Beesley [aut, cre],
Matthew Ivory [aut] |
| Maintainer: |
Tom Beesley <t.beesley at lancaster.ac.uk> |
| BugReports: |
https://github.com/tombeesley/eyetools/issues |
| License: |
GPL-3 |
| URL: |
https://tombeesley.github.io/eyetools/ |
| NeedsCompilation: |
no |
| Language: |
en-GB |
| Citation: |
eyetools citation info |
| Materials: |
README NEWS |
| CRAN checks: |
eyetools results |
Documentation:
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