Abstract—In this paper we give an overview of our work on an asynchronous BCI (where the subject makes self-paced decisions on when to switch from one mental task to the next) that responds every 0.5 seconds. A local neural classifier tries to recognize three different mental tasks; it may also respond “unknown ” for uncertain samples as the classifier has incorporated statistical rejection criteria. We report our experience with 15 subjects. We also briefly describe two brainactuated applications we have developed: a virtual keyboard and a mobile robot (emulating a motorized wheelchair)
This paper proposes a novel and simple local neural classifier for the recognition of mental tasks f...
A brain computer interface (BCI) allows a person to communicate with external devices using electroe...
The inclusion of mental tasks transitions detection (MTTD) has proven a useful tool in guiding the t...
In this paper we give an overview of our work on an asynchronous BCI (where the subject makes self-p...
This paper describes our work on a portable non-invasive brain-computer interface (BCI), called Adap...
Abstract: This paper proposes and creates a new generalised view towards BCI with its related applic...
This paper proposes a new local neural classifier for the recognition of mental tasks from on-line s...
ISBN : 978-2-9532965-0-1Brain Computers Interfaces (BCI) are emerging as a new communicational devic...
This paper investigates appropriate neural classifiers for the recognition of mental tasks from on-l...
The current study introduces an adaptive Bayesian learning scheme which discriminates between left h...
International audienceObjective. Brain-computer interfaces (BCIs) based on sensorimotor rhythms use ...
Much attention has been directed towards synchronous Brain Computer Interfaces (BCIs). For these BCI...
AbstractOver the last years evidence has accumulated that shows the possibility to analyze human bra...
Brain computer interface (BCI) systems aim at helping individuals with motor disabilities by providi...
Aim: A brain computer interface (BCI) allows an individual to communicate with external devices usin...
This paper proposes a novel and simple local neural classifier for the recognition of mental tasks f...
A brain computer interface (BCI) allows a person to communicate with external devices using electroe...
The inclusion of mental tasks transitions detection (MTTD) has proven a useful tool in guiding the t...
In this paper we give an overview of our work on an asynchronous BCI (where the subject makes self-p...
This paper describes our work on a portable non-invasive brain-computer interface (BCI), called Adap...
Abstract: This paper proposes and creates a new generalised view towards BCI with its related applic...
This paper proposes a new local neural classifier for the recognition of mental tasks from on-line s...
ISBN : 978-2-9532965-0-1Brain Computers Interfaces (BCI) are emerging as a new communicational devic...
This paper investigates appropriate neural classifiers for the recognition of mental tasks from on-l...
The current study introduces an adaptive Bayesian learning scheme which discriminates between left h...
International audienceObjective. Brain-computer interfaces (BCIs) based on sensorimotor rhythms use ...
Much attention has been directed towards synchronous Brain Computer Interfaces (BCIs). For these BCI...
AbstractOver the last years evidence has accumulated that shows the possibility to analyze human bra...
Brain computer interface (BCI) systems aim at helping individuals with motor disabilities by providi...
Aim: A brain computer interface (BCI) allows an individual to communicate with external devices usin...
This paper proposes a novel and simple local neural classifier for the recognition of mental tasks f...
A brain computer interface (BCI) allows a person to communicate with external devices using electroe...
The inclusion of mental tasks transitions detection (MTTD) has proven a useful tool in guiding the t...