ENH: Read eyetracking data (Eyelink) (Fork of #10855 )

doc/_includes/data_formats.rst

@@ -75,6 +75,8 @@ EEG           :ref:`Persyst <import-persyst>`               .lay       :func:`mn
 NIRS          :ref:`NIRx <import-nirx>`                     directory  :func:`mne.io.read_raw_nirx`
 
 NIRS          :ref:`BOXY <import-boxy>`                     directory  :func:`mne.io.read_raw_boxy`
+
+EYETRACK      SR eyelink ASCII files                        .asc       :func:`mne.io.read_raw_eyelink`
 ============  ============================================  =========  ===================================
 
 More details are provided in the tutorials in the :ref:`tut-data-formats`

doc/changes/latest.inc

@@ -40,6 +40,7 @@ Enhancements
 - Add automatic projection of sEEG contact onto the inflated surface for :meth:`mne.viz.Brain.add_sensors` (:gh:`11436` by `Alex Rockhill`_)
 - Allow an image with intracranial electrode contacts (e.g. computed tomography) to be used without the freesurfer recon-all surfaces to locate contacts so that it doesn't have to be downsampled to freesurfer dimensions (for microelectrodes) and show an example :ref:`ex-ieeg-micro` with :func:`mne.transforms.apply_volume_registration_points` added to aid this transform (:gh:`11567` by `Alex Rockhill`_)
 - Use new :meth:`dipy.workflows.align.DiffeomorphicMap.transform_points` to transform a montage of intracranial contacts more efficiently (:gh:`11572` by `Alex Rockhill`_)
+- Add support for eyetracking data using :func:`mne.io.read_raw_eyelink` (:gh:`11152` by `Dominik Welke`_ and `Scott Huberty`_)
 
 Bugs
 ~~~~

doc/conf.py

@@ -267,7 +267,7 @@
     # Undocumented (on purpose)
     'RawKIT', 'RawEximia', 'RawEGI', 'RawEEGLAB', 'RawEDF', 'RawCTF', 'RawBTi',
     'RawBrainVision', 'RawCurry', 'RawNIRX', 'RawGDF', 'RawSNIRF', 'RawBOXY',
-    'RawPersyst', 'RawNihon', 'RawNedf', 'RawHitachi', 'RawFIL',
+    'RawPersyst', 'RawNihon', 'RawNedf', 'RawHitachi', 'RawFIL', 'RawEyelink',
     # sklearn subclasses
     'mapping', 'to', 'any',
     # unlinkable
@@ -1231,6 +1231,7 @@ def reset_warnings(gallery_conf, fname):
     f'{tu}/{si}/plot_creating_data_structures.html': f'{tu}/{si}/10_array_objs.html',  # noqa E501
     f'{tu}/{si}/plot_point_spread.html': f'{tu}/{si}/70_point_spread.html',
     f'{tu}/{si}/plot_dics.html': f'{tu}/{si}/80_dics.html',
+    f'{tu}/{tf}/plot_eyetracking.html': f'{tu}/preprocessing/90_eyetracking_data.html',  # noqa E501
     f'{ex}/{co}/mne_inverse_label_connectivity.html': f'{mne_conn}/{ex}/mne_inverse_label_connectivity.html',  # noqa E501
     f'{ex}/{co}/cwt_sensor_connectivity.html': f'{mne_conn}/{ex}/cwt_sensor_connectivity.html',  # noqa E501
     f'{ex}/{co}/mixed_source_space_connectivity.html': f'{mne_conn}/{ex}/mixed_source_space_connectivity.html',  # noqa E501

doc/datasets.rst

@@ -44,4 +44,5 @@ Datasets
    refmeg_noise.data_path
    ssvep.data_path
    erp_core.data_path
-   epilepsy_ecog.data_path
+   epilepsy_ecog.data_path
+   eyelink.data_path

doc/overview/datasets_index.rst

@@ -475,6 +475,19 @@ standard.
 
     * :ref:`tut-ssvep`
 
+EYELINK
+=======
+:func:`mne.datasets.eyelink.data_path`
+
+A small example dataset in SR research's proprietary .asc format.
+1 participant fixated on the screen while short light flashes appeared.
+Monocular recording of gaze position and pupil size, 1000 Hz sampling 
+frequency.
+
+.. topic:: Examples
+
+    * :ref:`tut-eyetrack`
+
 References
 ==========
 

doc/preprocessing.rst

@@ -141,6 +141,19 @@ Projections:
    make_montage_volume
    warp_montage
 
+:py:mod:`mne.preprocessing.eyetracking`:
+
+.. currentmodule:: mne.preprocessing.eyetracking
+
+.. automodule:: mne.preprocessing.eyetracking
+   :no-members:
+   :no-inherited-members:
+
+.. autosummary::
+   :toctree: generated/
+
+   set_channel_types_eyetrack
+
 EEG referencing:
 
 .. currentmodule:: mne

doc/reading_raw_data.rst

@@ -20,6 +20,7 @@ Reading raw data
    read_raw_ctf
    read_raw_curry
    read_raw_edf
+   read_raw_eyelink
    read_raw_bdf
    read_raw_gdf
    read_raw_kit

mne/channels/channels.py

@@ -203,7 +203,8 @@ def equalize_channels(instances, copy=True, verbose=None):
                FIFF.FIFF_UNIT_MOL: 'M',
                FIFF.FIFF_UNIT_NONE: 'NA',
                FIFF.FIFF_UNIT_CEL: 'C',
-               FIFF.FIFF_UNIT_S: 'S'}
+               FIFF.FIFF_UNIT_S: 'S',
+               FIFF.FIFF_UNIT_PX: 'px'}
 
 
 def _check_set(ch, projs, ch_type):
@@ -331,7 +332,8 @@ def set_channel_types(self, mapping, verbose=None):
 
             ecg, eeg, emg, eog, exci, ias, misc, resp, seeg, dbs, stim, syst,
             ecog, hbo, hbr, fnirs_cw_amplitude, fnirs_fd_ac_amplitude,
-            fnirs_fd_phase, fnirs_od, temperature, gsr
+            fnirs_fd_phase, fnirs_od, eyetrack_pos, eyetrack_pupil,
+            temperature, gsr
 
         .. versionadded:: 0.9.0
         """
@@ -379,6 +381,10 @@ def set_channel_types(self, mapping, verbose=None):
                 coil_type = FIFF.FIFFV_COIL_FNIRS_FD_PHASE
             elif ch_type == 'fnirs_od':
                 coil_type = FIFF.FIFFV_COIL_FNIRS_OD
+            elif ch_type == 'eyetrack_pos':
+                coil_type = FIFF.FIFFV_COIL_EYETRACK_POS
+            elif ch_type == 'eyetrack_pupil':
+                coil_type = FIFF.FIFFV_COIL_EYETRACK_PUPIL
             else:
                 coil_type = FIFF.FIFFV_COIL_NONE
             self.info['chs'][c_ind]['coil_type'] = coil_type
@@ -595,7 +601,7 @@ def pick_types(self, meg=False, eeg=False, stim=False, eog=False,
                    resp=False, chpi=False, exci=False, ias=False, syst=False,
                    seeg=False, dipole=False, gof=False, bio=False,
                    ecog=False, fnirs=False, csd=False, dbs=False,
-                   temperature=False, gsr=False,
+                   temperature=False, gsr=False, eyetrack=False,
                    include=(), exclude='bads', selection=None, verbose=None):
         """Pick some channels by type and names.
 
@@ -621,9 +627,9 @@ def pick_types(self, meg=False, eeg=False, stim=False, eog=False,
             self.info, meg=meg, eeg=eeg, stim=stim, eog=eog, ecg=ecg, emg=emg,
             ref_meg=ref_meg, misc=misc, resp=resp, chpi=chpi, exci=exci,
             ias=ias, syst=syst, seeg=seeg, dipole=dipole, gof=gof, bio=bio,
-            ecog=ecog, fnirs=fnirs, csd=csd, dbs=dbs, include=include,
-            exclude=exclude, selection=selection, temperature=temperature,
-            gsr=gsr)
+            ecog=ecog, fnirs=fnirs, csd=csd, dbs=dbs, temperature=temperature,
+            gsr=gsr, eyetrack=eyetrack, include=include, exclude=exclude,
+            selection=selection)
 
         self._pick_drop_channels(idx)
 

mne/datasets/__init__.py

@@ -26,6 +26,7 @@
 from . import ssvep
 from . import erp_core
 from . import epilepsy_ecog
+from . import eyelink
 from . import ucl_opm_auditory
 from ._fetch import fetch_dataset
 from .utils import (_download_all_example_data, fetch_hcp_mmp_parcellation,
@@ -42,5 +43,5 @@
     'sleep_physionet', 'somato', 'spm_face', 'ssvep', 'testing',
     'visual_92_categories', 'limo', 'erp_core', 'epilepsy_ecog',
     'fetch_dataset', 'fetch_phantom', 'has_dataset', 'refmeg_noise',
-    'fnirs_motor'
+    'fnirs_motor', 'eyelink'
 ]

mne/datasets/config.py

@@ -87,7 +87,7 @@
 # respective repos, and make a new release of the dataset on GitHub. Then
 # update the checksum in the MNE_DATASETS dict below, and change version
 # here:                  ↓↓↓↓↓         ↓↓↓
-RELEASES = dict(testing='0.142', misc='0.24')
+RELEASES = dict(testing='0.144', misc='0.26')
 TESTING_VERSIONED = f'mne-testing-data-{RELEASES["testing"]}'
 MISC_VERSIONED = f'mne-misc-data-{RELEASES["misc"]}'
 
@@ -111,7 +111,7 @@
 # Testing and misc are at the top as they're updated most often
 MNE_DATASETS['testing'] = dict(
     archive_name=f'{TESTING_VERSIONED}.tar.gz',
-    hash='md5:44b857ddb34aefd752e4f5b19d625dee',
+    hash='md5:fb546f44dba3310945225ed8fdab4a91',
     url=('https://codeload.github.com/mne-tools/mne-testing-data/'
          f'tar.gz/{RELEASES["testing"]}'),
     # In case we ever have to resort to osf.io again...
@@ -123,7 +123,7 @@
 )
 MNE_DATASETS['misc'] = dict(
     archive_name=f'{MISC_VERSIONED}.tar.gz',  # 'mne-misc-data',
-    hash='md5:eb017a919939511932bd683f26f97490',
+    hash='md5:868b484fadd73b1d1a3535b7194a0d03',
     url=('https://codeload.github.com/mne-tools/mne-misc-data/tar.gz/'
          f'{RELEASES["misc"]}'),
     folder_name='MNE-misc-data',
@@ -335,3 +335,12 @@
     folder_name='foo',
     config_key='MNE_DATASETS_FAKE_PATH'
 )
+
+# eyelink dataset
+MNE_DATASETS['eyelink'] = dict(
+    archive_name='eyelink_example_data.zip',
+    hash='md5:081950c05f35267458d9c751e178f161',
+    url=('https://osf.io/r5ndq/download?version=1'),
+    folder_name='eyelink-example-data',
+    config_key='MNE_DATASETS_EYELINK_PATH'
+)

mne/datasets/eyelink/__init__.py

@@ -0,0 +1,3 @@
+"""Eyelink test dataset."""
+
+from .eyelink import data_path, get_version

mne/datasets/eyelink/eyelink.py

@@ -0,0 +1,26 @@
+# Authors: Dominik Welke <[email protected]>
+# License: BSD Style.
+
+from ...utils import verbose
+from ..utils import (_data_path_doc, _get_version, _version_doc,
+                     _download_mne_dataset)
+
+
+@verbose
+def data_path(path=None, force_update=False, update_path=True,
+              download=True, *, verbose=None):  # noqa: D103
+    return _download_mne_dataset(
+        name='eyelink', processor='unzip', path=path,
+        force_update=force_update, update_path=update_path,
+        download=download)
+
+
+data_path.__doc__ = _data_path_doc.format(name='eyelink',
+                                          conf='MNE_DATASETS_EYELINK_PATH')
+
+
+def get_version():  # noqa: D103
+    return _get_version('eyelink')
+
+
+get_version.__doc__ = _version_doc.format(name='eyelink')

mne/datasets/utils.py

@@ -304,7 +304,7 @@ def _download_all_example_data(verbose=True):
                    kiloword, phantom_4dbti, sleep_physionet, limo,
                    fnirs_motor, refmeg_noise, fetch_infant_template,
                    fetch_fsaverage, ssvep, erp_core, epilepsy_ecog,
-                   fetch_phantom, ucl_opm_auditory)
+                   fetch_phantom, eyelink, ucl_opm_auditory)
     sample_path = sample.data_path()
     testing.data_path()
     misc.data_path()
@@ -327,6 +327,7 @@ def _download_all_example_data(verbose=True):
     brainstorm.bst_resting.data_path(accept=True)
     phantom_path = brainstorm.bst_phantom_elekta.data_path(accept=True)
     fetch_phantom('otaniemi', subjects_dir=phantom_path)
+    eyelink.data_path()
     brainstorm.bst_phantom_ctf.data_path(accept=True)
     eegbci.load_data(1, [6, 10, 14], update_path=True)
     for subj in range(4):

mne/defaults.py

@@ -13,26 +13,29 @@
                dipole='k', gof='k', bio='k', ecog='k', hbo='#AA3377', hbr='b',
                fnirs_cw_amplitude='k', fnirs_fd_ac_amplitude='k',
                fnirs_fd_phase='k', fnirs_od='k', csd='k', whitened='k',
-               gsr='#666633', temperature='#663333'),
+               gsr='#666633', temperature='#663333',
+               eyegaze='k', pupil='k'),
     si_units=dict(mag='T', grad='T/m', eeg='V', eog='V', ecg='V', emg='V',
                   misc='AU', seeg='V', dbs='V', dipole='Am', gof='GOF',
                   bio='V', ecog='V', hbo='M', hbr='M', ref_meg='T',
                   fnirs_cw_amplitude='V', fnirs_fd_ac_amplitude='V',
                   fnirs_fd_phase='rad', fnirs_od='V', csd='V/m²',
-                  whitened='Z', gsr='S', temperature='C'),
+                  whitened='Z', gsr='S', temperature='C',
+                  eyegaze='AU', pupil='AU'),
     units=dict(mag='fT', grad='fT/cm', eeg='µV', eog='µV', ecg='µV', emg='µV',
                misc='AU', seeg='mV', dbs='µV', dipole='nAm', gof='GOF',
                bio='µV', ecog='µV', hbo='µM', hbr='µM', ref_meg='fT',
                fnirs_cw_amplitude='V', fnirs_fd_ac_amplitude='V',
                fnirs_fd_phase='rad', fnirs_od='V', csd='mV/m²',
-               whitened='Z', gsr='S', temperature='C'),
+               whitened='Z', gsr='S', temperature='C',
+               eyegaze='AU', pupil='AU'),
     # scalings for the units
     scalings=dict(mag=1e15, grad=1e13, eeg=1e6, eog=1e6, emg=1e6, ecg=1e6,
                   misc=1.0, seeg=1e3, dbs=1e6, ecog=1e6, dipole=1e9, gof=1.0,
                   bio=1e6, hbo=1e6, hbr=1e6, ref_meg=1e15,
                   fnirs_cw_amplitude=1.0, fnirs_fd_ac_amplitude=1.0,
                   fnirs_fd_phase=1., fnirs_od=1.0, csd=1e3, whitened=1.,
-                  gsr=1., temperature=1.),
+                  gsr=1., temperature=1., eyegaze=1., pupil=1.),
     # rough guess for a good plot
     scalings_plot_raw=dict(mag=1e-12, grad=4e-11, eeg=20e-6, eog=150e-6,
                            ecg=5e-4, emg=1e-3, ref_meg=1e-12, misc='auto',
@@ -42,13 +45,15 @@
                            fnirs_fd_ac_amplitude=2e-2, fnirs_fd_phase=2e-1,
                            fnirs_od=2e-2, csd=200e-4,
                            dipole=1e-7, gof=1e2,
-                           gsr=1., temperature=0.1),
+                           gsr=1., temperature=0.1,
+                           eyegaze=3e-1, pupil=1e3),
     scalings_cov_rank=dict(mag=1e12, grad=1e11, eeg=1e5,  # ~100x scalings
                            seeg=1e1, dbs=1e4, ecog=1e4, hbo=1e4, hbr=1e4),
     ylim=dict(mag=(-600., 600.), grad=(-200., 200.), eeg=(-200., 200.),
               misc=(-5., 5.), seeg=(-20., 20.), dbs=(-200., 200.),
               dipole=(-100., 100.), gof=(0., 1.), bio=(-500., 500.),
-              ecog=(-200., 200.), hbo=(0, 20), hbr=(0, 20), csd=(-50., 50.)),
+              ecog=(-200., 200.), hbo=(0, 20), hbr=(0, 20), csd=(-50., 50.),
+              eyegaze=(0., 5000.), pupil=(0., 5000.)),
     titles=dict(mag='Magnetometers', grad='Gradiometers', eeg='EEG', eog='EOG',
                 ecg='ECG', emg='EMG', misc='misc', seeg='sEEG', dbs='DBS',
                 bio='BIO', dipole='Dipole', ecog='ECoG', hbo='Oxyhemoglobin',
@@ -60,6 +65,8 @@
                 gof='Goodness of fit', csd='Current source density',
                 stim='Stimulus', gsr='Galvanic skin response',
                 temperature='Temperature',
+                eyegaze='Eye-tracking (Gaze position)',
+                pupil='Eye-tracking (Pupil size)',
                 ),
     mask_params=dict(marker='o',
                      markerfacecolor='w',

mne/io/__init__.py

@@ -60,6 +60,7 @@
                         read_evoked_fieldtrip)
 from .nihon import read_raw_nihon
 from ._read_raw import read_raw
+from .eyelink import read_raw_eyelink
 
 
 # for backward compatibility

mne/io/constants.py

@@ -204,6 +204,8 @@
 FIFF.FIFFV_FNIRS_CH     = 1100  # Functional near-infrared spectroscopy
 FIFF.FIFFV_TEMPERATURE_CH = 1200  # Functional near-infrared spectroscopy
 FIFF.FIFFV_GALVANIC_CH  = 1300  # Galvanic skin response
+FIFF.FIFFV_EYETRACK_CH  = 1400  # Eye-tracking
+
 _ch_kind_named = {key: key for key in (
     FIFF.FIFFV_BIO_CH,
     FIFF.FIFFV_MEG_CH,
@@ -227,6 +229,7 @@
     FIFF.FIFFV_FNIRS_CH,
     FIFF.FIFFV_GALVANIC_CH,
     FIFF.FIFFV_TEMPERATURE_CH,
+    FIFF.FIFFV_EYETRACK_CH
 )}
 
 #
@@ -854,6 +857,8 @@
 FIFF.FIFF_UNIT_AM    = 202  # Am
 FIFF.FIFF_UNIT_AM_M2 = 203  # Am/m^2
 FIFF.FIFF_UNIT_AM_M3 = 204  # Am/m^3
+
+FIFF.FIFF_UNIT_PX = 210     # Pixel
 _ch_unit_named = {key: key for key in(
     FIFF.FIFF_UNIT_NONE, FIFF.FIFF_UNIT_UNITLESS, FIFF.FIFF_UNIT_M,
     FIFF.FIFF_UNIT_KG, FIFF.FIFF_UNIT_SEC, FIFF.FIFF_UNIT_A, FIFF.FIFF_UNIT_K,
@@ -865,6 +870,7 @@
     FIFF.FIFF_UNIT_CEL, FIFF.FIFF_UNIT_LM, FIFF.FIFF_UNIT_LX,
     FIFF.FIFF_UNIT_V_M2, FIFF.FIFF_UNIT_T_M, FIFF.FIFF_UNIT_AM,
     FIFF.FIFF_UNIT_AM_M2, FIFF.FIFF_UNIT_AM_M3,
+    FIFF.FIFF_UNIT_PX,
 )}
 #
 # Multipliers
@@ -916,6 +922,11 @@
 FIFF.FIFFV_COIL_FNIRS_FD_AC_AMPLITUDE = 304  # fNIRS frequency domain AC amplitude
 FIFF.FIFFV_COIL_FNIRS_FD_PHASE        = 305  # fNIRS frequency domain phase
 FIFF.FIFFV_COIL_FNIRS_RAW = FIFF.FIFFV_COIL_FNIRS_CW_AMPLITUDE  # old alias
+FIFF.FIFFV_COIL_FNIRS_TD_GATED_AMPLITUDE   = 306 # fNIRS time-domain gated amplitude
+FIFF.FIFFV_COIL_FNIRS_TD_MOMENTS_AMPLITUDE = 307 # fNIRS time-domain moments amplitude
+
+FIFF.FIFFV_COIL_EYETRACK_POS = 400       # Eye-tracking gaze position
+FIFF.FIFFV_COIL_EYETRACK_PUPIL = 401     # Eye-tracking pupil size
 
 FIFF.FIFFV_COIL_MCG_42             = 1000  # For testing the MCG software
 
@@ -1002,7 +1013,9 @@
     FIFF.FIFFV_COIL_DIPOLE, FIFF.FIFFV_COIL_FNIRS_HBO,
     FIFF.FIFFV_COIL_FNIRS_HBR, FIFF.FIFFV_COIL_FNIRS_RAW,
     FIFF.FIFFV_COIL_FNIRS_OD, FIFF.FIFFV_COIL_FNIRS_FD_AC_AMPLITUDE,
-    FIFF.FIFFV_COIL_FNIRS_FD_PHASE, FIFF.FIFFV_COIL_MCG_42,
+    FIFF.FIFFV_COIL_FNIRS_FD_PHASE, FIFF.FIFFV_COIL_FNIRS_TD_GATED_AMPLITUDE,
+    FIFF.FIFFV_COIL_FNIRS_TD_MOMENTS_AMPLITUDE, FIFF.FIFFV_COIL_MCG_42,
+    FIFF.FIFFV_COIL_EYETRACK_POS, FIFF.FIFFV_COIL_EYETRACK_PUPIL,
     FIFF.FIFFV_COIL_POINT_MAGNETOMETER, FIFF.FIFFV_COIL_AXIAL_GRAD_5CM,
     FIFF.FIFFV_COIL_VV_PLANAR_W, FIFF.FIFFV_COIL_VV_PLANAR_T1,
     FIFF.FIFFV_COIL_VV_PLANAR_T2, FIFF.FIFFV_COIL_VV_PLANAR_T3,

mne/io/eyelink/__init__.py

@@ -0,0 +1,7 @@
+"""Module for loading Eye-Tracker data."""
+
+# Author: Dominik Welke <[email protected]>
+#
+# License: BSD-3-Clause
+
+from .eyelink import read_raw_eyelink