cBCI Matrix Multimodal Dataset
…The Eyetracker data were collected using a portable eye tracker (Tobii Pro…
- Participants
- 21
- Channels
- 19 (10-20)
- Size
- 616 MB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
100 results for "Eye Tracking" · page 7 of 10 · ranked by relevance
…The Eyetracker data were collected using a portable eye tracker (Tobii Pro…
This dataset comprises EEG recordings from 15 healthy participants performing a visual P300 oddball task during treadmill walking at 1.6 m/s. The study includes simultaneous scalp-EEG (46 channels), ear-EEG (14 channels), electrooculography (4 channels), and inertial measurement unit recordings (6 channels) sampled at 100 Hz. The dataset was collected as part of BCI Competition 2020 Track 5 to evaluate brain-computer interface performance under ambulatory conditions. This is a BIDS-formatted derivative dataset converted from the original data using the MOABB (Mother of All BCI Benchmarks) pipeline.
…the EEG and (soon-released) Eye-Tracking Section of the Child Mind…
This dataset comprises stereoelectroencephalography (sEEG) recordings from patients performing a forced two-choice response task, collected in the epilepsy monitoring unit at Oregon Health & Science University. The data extends characterization of movement-related neural oscillations using intracranial electrode recordings, providing insights into canonical motor-related activity patterns across distributed brain regions.
…the EEG and (soon-released) Eye-Tracking Section of the Child Mind…
This dataset comprises EEG recordings collected using a Visual Attribute-Specific Contextual Trajectory Paradigm, designed to investigate visual attention and perceptual processing of moving stimuli. It provides raw electrophysiological data intended to support research into contextual and attribute-specific visual trajectory processing in humans.
…Pupil Labs Pupil Core eye tracking with infrared illuminators; LSL relay with…
A high-density 124-channel EEG dataset comprising event-related potentials (ERPs) from 10 healthy participants during a visual object recognition task. Participants viewed 5,184 photographs from six object categories (human body, human face, animal body, animal face, fruit/vegetable, and inanimate objects), with 72 photographs per category, presented for 500 ms each. The dataset is suitable for investigating neural representations of object categories through single-trial EEG classification and representational similarity analysis.
…Follow cue with eyes, wait at least 1s after cue stops, mimic…
…Such factors will include real-time tracking of variables such as task…