I performed experiments on 8 different healty subjects to gather EEG data for my BCI project. The format I followed to build this dataset is the same of BNCI2014001 from BCI Competition IV (MOABB dataset) Each subject had two training runs and one evaluation run. Only 4 electrodes were used, channels are respectively: Cz, T3, T4 and Oz We used a DIY headset with candle-like microneedle electrodes developed in Miki Laboratory from Keio University, Japan
Steady State Visual Evoked Potential (SSVEP) methods for brain–computer interfaces (BCI) are popular...
<p>The labeled electrodes were used in our BCI system. The remaining unlabeled electrodes, on the ot...
[[abstract]]Brain-computer interfaces (BCIs) allow communication between the brain and the external ...
Data description for ‘Exploring training effect in 42 human subjects using a noninvasive sensorimoto...
Summary: This dataset contains electroencephalographic (EEG) recordings of 71 subjects playing to a...
Summary: This dataset contains electroencephalographic recordings on 21 subjects doing a visual P30...
Brain-computer interfaces (BCIs) are an emerging technology that leverage neurophysiological signals...
Electroencephalography based brain-computer interfaces (BCIs) show promise of providing an alternati...
Although it ranks among the oldest tools in neuroscientific research, electroencephalography (EEG) s...
Interest in developing a new method of man-to-machine communication-a brain-computer interface (BCI)...
In this work, an experimental methodology for the acquisition of EEG signals from volunteer subjects...
The techniques involved in the development of the brain computer interfaces require the validation o...
International audienceWe present and share a large database containing electroencephalographic signa...
International audienceBrain-computer interface (BCI) methods are commonly studied using electroencep...
International audienceElectroencephalography provides measurements of electrical potential in the fo...
Steady State Visual Evoked Potential (SSVEP) methods for brain–computer interfaces (BCI) are popular...
<p>The labeled electrodes were used in our BCI system. The remaining unlabeled electrodes, on the ot...
[[abstract]]Brain-computer interfaces (BCIs) allow communication between the brain and the external ...
Data description for ‘Exploring training effect in 42 human subjects using a noninvasive sensorimoto...
Summary: This dataset contains electroencephalographic (EEG) recordings of 71 subjects playing to a...
Summary: This dataset contains electroencephalographic recordings on 21 subjects doing a visual P30...
Brain-computer interfaces (BCIs) are an emerging technology that leverage neurophysiological signals...
Electroencephalography based brain-computer interfaces (BCIs) show promise of providing an alternati...
Although it ranks among the oldest tools in neuroscientific research, electroencephalography (EEG) s...
Interest in developing a new method of man-to-machine communication-a brain-computer interface (BCI)...
In this work, an experimental methodology for the acquisition of EEG signals from volunteer subjects...
The techniques involved in the development of the brain computer interfaces require the validation o...
International audienceWe present and share a large database containing electroencephalographic signa...
International audienceBrain-computer interface (BCI) methods are commonly studied using electroencep...
International audienceElectroencephalography provides measurements of electrical potential in the fo...
Steady State Visual Evoked Potential (SSVEP) methods for brain–computer interfaces (BCI) are popular...
<p>The labeled electrodes were used in our BCI system. The remaining unlabeled electrodes, on the ot...
[[abstract]]Brain-computer interfaces (BCIs) allow communication between the brain and the external ...