EEG-based BCI Dataset of Semantic Concepts for Imagination and Perception Tasks
Abstract Electroencephalography (EEG) is a widely-used neuroimaging technique in Brain Computer Interfaces (BCIs) due to its non-invasive nature, accessibility and high temporal resolution. A range of input representations has been explored for BCIs. The same semantic meaning can be conveyed in diff...
Main Authors: | Holly Wilson, Mohammad Golbabaee, Michael J. Proulx, Stephen Charles, Eamonn O’Neill |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2023-06-01
|
Series: | Scientific Data |
Online Access: | https://doi.org/10.1038/s41597-023-02287-9 |
Similar Items
-
EEG based BCI using visual imagery task for robot control
by: Husnaini, Azmy, et al.
Published: (2013) -
EEG-BCI Features Discrimination between Executed and Imagined Movements Based on FastICA, Hjorth Parameters, and SVM
by: Tat’y Mwata-Velu, et al.
Published: (2023-10-01) -
A BCI system for imagined Bengali speech recognition
by: Arman Hossain, et al.
Published: (2023-09-01) -
In-Ear Electrode EEG for Practical SSVEP BCI
by: Surej Mouli, et al.
Published: (2020-11-01) -
EEG-Based BCI System to Detect Fingers Movements
by: Sofien Gannouni, et al.
Published: (2020-12-01)