OBJECTIVE
To assess the feasibility and robustness of an asynchronous and non-invasive EEG-based Brain-Computer Interface (BCI) for continuous mental control of a wheelchair.
METHODS
In experiment… (More)
The use of shared control techniques has a profound impact on the performance of a robotic assistant controlled by human brain signals. However, this shared control usually provides assistance to the… (More)
In this paper we present further results of our asynchronous and non-invasive BMI for the continuous control of an intelligent wheelchair. Three subjects participated in two experiments where they… (More)
The paper describes how virtualization tools can be used in computer network laboratories to simplify and dramatically reduce its deployment and management costs. In particular, the Virtual Network… (More)
Specifications of conceptualisations (ontologies) are often employed for representing reality, both in knowledge representation and software engineering. While languages offer sophisticated… (More)
To propose a new feature extraction method with canonical solution for multi-class brain-computer interfaces (BCI). The proposed method should provide a reduced number of canonical discriminant… (More)
This study aims to characterize the electroencephalography (EEG) correlates of exploratory behavior. Decision making in an uncertain environment raises a conflict between two opposing needs:… (More)
This article presents the first results of our study and experimentation with the new IPv6 IX-based address assignment model and its deployment in IXs where peering is organized around route servers.… (More)
BACKGROUND
Preliminary results in healthy, young US adults showed that a tetravalent, live-attenuated dengue vaccine (TDV) was safe and immunogenic, but no data are available in children.
METHODS… (More)