| Version: | 0.1.1 |
| Date: | 2016-04-04 |
| Title: | Eye Movement Analysis Package for Fixation and Saccade Detection |
| Author: | Simon Schwab <schw4b@gmail.com> |
| Maintainer: | Simon Schwab <schw4b@gmail.com> |
| Depends: | R (≥ 1.8.0) |
| Description: | Fixation and saccade detection in eye movement recordings. This package implements a dispersion-based algorithm (I-DT) proposed by Salvucci & Goldberg (2000) which detects fixation duration and position. |
| License: | GPL-3 |
| URL: | https://github.com/schw4b/emov |
| BugReports: | https://github.com/schw4b/emov/issues |
| NeedsCompilation: | no |
| Packaged: | 2016-04-04 12:55:20 UTC; simon |
| Repository: | CRAN |
| Date/Publication: | 2016-04-04 18:39:38 |
Angular size of stimulus.
Description
Angular size of stimulus.
Usage
emov.angdia(stimsize, distance)
Arguments
stimsize |
Size of the stimulus. |
distance |
Viewing distance from stimulus. |
Value
Angular size in degrees.
Convert Cartesian to Spherical coordinates.
Description
Convert Cartesian to Spherical coordinates.
Usage
emov.cart2sphere(x, y, z)
Arguments
x |
x. |
y |
y. |
z |
z. |
Value
Two angles (radians) and radius
Examples
data = emov.cart2sphere(3, 4, 5)
Velocity threshold filter.
Description
Velocity threshold filter.
Usage
emov.filter(x, y, threshold)
Arguments
x |
Eye position. |
y |
Eye position. |
threshold |
Velocity threshold. |
Value
Filtered data.
I-DT algorithm.
Description
I-DT algorithm.
Usage
emov.idt(t, x, y, dispersion, duration)
Arguments
t |
Vector of timepoints. |
x |
horizontal eye positions. |
y |
vertical eye positions. |
dispersion |
Maximal dispersion allowed (in units of x and y). |
duration |
Minimal fixation duration allowed (in number of samples) |
Value
Fixations: position, start, end.
References
Salvucci, D. D., & Goldberg, J. H. (2000). Identifying fixations and saccades in eye-tracking protocols. In Proceedings of the 2000 symposium on eye tracking research & applications (pp. 71-78). New York: ACM.
Read SMI iview sample file.
Description
Read SMI iview sample file.
Usage
emov.read_iviewsamples(file, nr_of_headerlines)
Arguments
file |
Filename. |
nr_of_headerlines |
No. of header lines in datafile. |
Value
data file.
Eye movement data
Description
Five seconds of eye movement data recorded with an SMI eye tracker 200 Hz
Usage
fivesecFormat
A data.frame that contains time, x and y eye positions.
Source
Simon Schwab