In this poster we introduce a novel approach, called the “Mind-Window”, for real-time visualization of brain activity. The Mind-Window enables one or multiple users to visual-ize the brain activity of another person as if her skull was transparent. Our approach relies on the use of multiple tablet PCs that the observers can move around the head of the ob-served person wearing an EEG cap. A 3D virtual brain model is superimposed onto the head of the observed person using augmented reality by tracking a 3D marker placed on top of the head. The EEG cap records the electrical fields emitted by the brain, and they are processed in real-time to update the display of the virtual brain model. Several visualization techniques are proposed such as an...
This work develops and tests two Brain-Computer Interface (BCI) systems. The first one is a Steady-s...
A brain-computer interface (BCI) using electroencephalography (EEG) presents non-invasive ways for a...
In this paper we propose an application which combines two research disciplines: object detection an...
International audienceIn this poster we introduce a novel approach, called the "Mind-Window", for re...
International audienceImagine you are facing a mirror, seeing at the same time both your real body a...
Imagine you are facing a mirror, seeing at the same time both your real body and a virtual display o...
International audienceRecent theoretical and technological advances in neuroimaging techniques now a...
The main objective of this project is to understand more about the brain activities, and then from t...
The brain-machine interface (BMI) or brain-computer interface (BCI) is a new interface technology th...
Since ancient times, philosophical and religious thinkers have made attempts to understand the natur...
AbstractOver the last years evidence has accumulated that shows the possibility to analyze human bra...
Abnormal behaviour may be a warning sign of underlying brain disease. Neuropsychological (NP) tests ...
Brain computer interface (BCI) applications were initially designed to provide final users with spec...
As relaxation techniques have surged in popularity, many scientific studies have researched the effi...
Combining low-cost wireless EEG sensors with smartphones offers novel opportunities for mobile brain...
This work develops and tests two Brain-Computer Interface (BCI) systems. The first one is a Steady-s...
A brain-computer interface (BCI) using electroencephalography (EEG) presents non-invasive ways for a...
In this paper we propose an application which combines two research disciplines: object detection an...
International audienceIn this poster we introduce a novel approach, called the "Mind-Window", for re...
International audienceImagine you are facing a mirror, seeing at the same time both your real body a...
Imagine you are facing a mirror, seeing at the same time both your real body and a virtual display o...
International audienceRecent theoretical and technological advances in neuroimaging techniques now a...
The main objective of this project is to understand more about the brain activities, and then from t...
The brain-machine interface (BMI) or brain-computer interface (BCI) is a new interface technology th...
Since ancient times, philosophical and religious thinkers have made attempts to understand the natur...
AbstractOver the last years evidence has accumulated that shows the possibility to analyze human bra...
Abnormal behaviour may be a warning sign of underlying brain disease. Neuropsychological (NP) tests ...
Brain computer interface (BCI) applications were initially designed to provide final users with spec...
As relaxation techniques have surged in popularity, many scientific studies have researched the effi...
Combining low-cost wireless EEG sensors with smartphones offers novel opportunities for mobile brain...
This work develops and tests two Brain-Computer Interface (BCI) systems. The first one is a Steady-s...
A brain-computer interface (BCI) using electroencephalography (EEG) presents non-invasive ways for a...
In this paper we propose an application which combines two research disciplines: object detection an...