info/tutorials/modality/importing-eyetrack-with-mne.md

Importing Eye tracking data with MNE-Python

import mne
import matplotlib.pyplot as plt

from almirah import Layout

mne.set_log_level(False)

lay = Layout(root="/path/to/data", specification_name="bids")
lay

<Layout root: '/path/to/data'>

files = lay.query(datatype="eyetrack", extension=".asc")
len(files)

3632

file = lay.query(subject="D0019", datatype="eyetrack", task="FIX", extension=".asc")[0]

print(file.rel_path)

sub-D0019/ses-111/eyetrack/sub-D0019_ses-111_task-FIX_run-01_eyetrack.asc

raw = mne.io.read_raw_eyelink(file.path, create_annotations=["blinks"])
custom_scalings = dict(eyegaze=1e3)
raw.pick(picks="eyetrack").plot(scalings=custom_scalings)
plt.close()

raw

<summary><strong>General</strong></summary>
<table class="table table-hover table-striped table-sm table-responsive small">
<tr>
    <th>Measurement date</th>
    <td>January 01, 2009  00:03:33 GMT</td>
</tr>
<tr>
    <th>Experimenter</th>
    <td>Unknown</td>
</tr>
<tr>
    <th>Participant</th>
    <td>Unknown</td>
</tr>
</table>

<summary><strong>Channels</strong></summary>
<table class="table table-hover table-striped table-sm table-responsive small">
<tr>
    <th>Digitized points</th>
    <td>Not available</td>
</tr>
<tr>
    <th>Good channels</th>
    <td>2 Eye-tracking (Gaze position), 1 Eye-tracking (Pupil size)</td>
</tr>
<tr>
    <th>Bad channels</th>
    <td>None</td>
</tr>
<tr>
    <th>EOG channels</th>
    <td>Not available</td>
</tr>
<tr>
    <th>ECG channels</th>
    <td>Not available</td>
</tr>
</table>

<summary><strong>Data</strong></summary>
<table class="table table-hover table-striped table-sm table-responsive small">
<tr>
    <th>Sampling frequency</th>
    <td>1000.00 Hz</td>
</tr>
<tr>
    <th>Highpass</th>
    <td>0.00 Hz</td>
</tr>
<tr>
    <th>Lowpass</th>
    <td>500.00 Hz</td>
</tr>
<tr>
    <th>Filenames</th>
    <td>sub-D0019_ses-111_task-FIX_run-01_eyetrack.asc</td>
</tr>
<tr>
    <th>Duration</th>
    <td>00:01:11 (HH:MM:SS)</td>
</tr>
</table>

raw.ch_names

['xpos_left', 'ypos_left', 'pupil_left']

raw["xpos_left"]

(array([[510.2, 510.1, 509.9, ..., 454.4, 454.8, 455.5]]),
 array([0.0000e+00, 1.0000e-03, 2.0000e-03, ..., 7.0556e+01, 7.0557e+01,
        7.0558e+01]))