<p>27 EEG electrodes recorded brain activities during a motor imagery task. Subjects watched first-person images of a robot’s hands through a head mounted display. A lighting ball in front of the robot’s hands gave motor imagery cue and subjects held images of a grasp for their own corresponding hand. Classifier detected two classes of results (right or left) and sent a motion command to the robot’s hand.</p
Previous studies have demonstrated the possibility of using functional MRI to control a robot arm th...
Recent experiments have shown the near possibility to use the brain electrical activity to directly ...
Recent experiments have indicated the possibility to use the brain electrical activity to directly c...
Experiment Description: This experiment involved 12 healthy subjects with no prior experience on ne...
International audienceIn this article, we study how combined motor imageries can be detected to deli...
Introduction : This paper presents a detection method for upper limb movement intention as part of a...
Electroencephalogram (EEG) is a noninvasive technique that registers signals originating from the fi...
The dataset was created for the Motor Imagery classification by using an EMOTIV EPOC+ headset, to co...
This project takes Electroencephalography (EEG) data and correlates it with specific robotic actions...
Past studies had shown promising results of Electroencephalography(EEG) based BCI as tool for commun...
<p>EBCC-like, VOR and upper limb perturbed reaching: on the left column the typical set-up used in n...
The study was using an EEG Emotiv Epoc+ sensor to recognize brain activity for controlling a mobile ...
Abstract—Brain activity recorded non-invasively is sufficient to control a mobile robot if advanced ...
<div><p>Non-invasive Brain-Machine Interfaces (BMIs) are being used more and more these days to desi...
A brain-computer interface (BCI) can provide a communication approach conveying brain information to...
Previous studies have demonstrated the possibility of using functional MRI to control a robot arm th...
Recent experiments have shown the near possibility to use the brain electrical activity to directly ...
Recent experiments have indicated the possibility to use the brain electrical activity to directly c...
Experiment Description: This experiment involved 12 healthy subjects with no prior experience on ne...
International audienceIn this article, we study how combined motor imageries can be detected to deli...
Introduction : This paper presents a detection method for upper limb movement intention as part of a...
Electroencephalogram (EEG) is a noninvasive technique that registers signals originating from the fi...
The dataset was created for the Motor Imagery classification by using an EMOTIV EPOC+ headset, to co...
This project takes Electroencephalography (EEG) data and correlates it with specific robotic actions...
Past studies had shown promising results of Electroencephalography(EEG) based BCI as tool for commun...
<p>EBCC-like, VOR and upper limb perturbed reaching: on the left column the typical set-up used in n...
The study was using an EEG Emotiv Epoc+ sensor to recognize brain activity for controlling a mobile ...
Abstract—Brain activity recorded non-invasively is sufficient to control a mobile robot if advanced ...
<div><p>Non-invasive Brain-Machine Interfaces (BMIs) are being used more and more these days to desi...
A brain-computer interface (BCI) can provide a communication approach conveying brain information to...
Previous studies have demonstrated the possibility of using functional MRI to control a robot arm th...
Recent experiments have shown the near possibility to use the brain electrical activity to directly ...
Recent experiments have indicated the possibility to use the brain electrical activity to directly c...