Concept

Brain-reading

Publications associées (105)

EEG Error-related Potentials Detection with a Bayesian Filter

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Pierre Bessière

Several studies describe evoked EEG potentials elicited when a subject is aware of an erroneous decision either taken by him or by an external interface. This paper try to detect Error-related potentials (ErrP) elicited when a human user want to monitors a ...

IEEE2009

Validation of Brain-Machine Interfaces during Parabolic Flight

José del Rocio Millán Ruiz

Here we report on a validation study on brain–machine interfaces (BMIs) performed during the December 2007 ESA parabolic flight campaign. We investigated the feasibility of using BMIs for space applications by performing tests in microgravity. Brain signal ...

Elsevier2009

A Brain-Actuated Wheelchair: Asynchronous and Non-Invasive Brain-Computer Interfaces for Continuous Control of Robots

José del Rocio Millán Ruiz, Eileen Lew Yi Lee, Pierre Ferrez

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 1 two subjects were asked to mentally drive both a real a ...

Elsevier2008

Brain-Controlled Robots

José del Rocio Millán Ruiz

The idea of moving robots or prosthetic devices not by manual control, but by mere thinking (i.e., the brain activity of human subjects) has fascinated researchers for the last 30 years, but it is only now that first experiments have shown the possibility ...

2008

Bayesian Feature Selection Applied In a P300 Brain- Computer Interface

Touradj Ebrahimi, Jean-Marc Vesin, Ashkan Yazdani, Ulrich Hoffmann

Feature selection is a machine learning technique that has many interesting applications in the area of brain- computer interfaces (BCIs). Here we show how automatic relevance determination (ARD), which is a Bayesian feature selection technique, can be app ...

2008

EEG-based Recognition of Covert Attentional Shifts

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Catherine Brandner

Attentional shifts precede most of the perceptual processes, and therefore their recognition may constitute an interesting process for both the study of human perception as well as the design of EEG-based Brain Computer Interfaces (BCI). Several studies ha ...

2008

Augmenting Astronaut's Capabilities through Brain-Machine Interfaces

José del Rocio Millán Ruiz

Brain-Machine Interfaces (BMIs) transform the brain activity of a human operator into executable commands that can be sent to a machine, usually a computer or robot, to perform intended tasks. In addition to current biomedical applications, available techn ...

2007

Context-based Filtering for Assisted Brain-Actuated Wheelchair Driving

José del Rocio Millán Ruiz, Eileen Lew Yi Lee, Pierre Ferrez

Controlling a robotic device by using human brain signals is an interesting and challenging task. The device may be complicated to control and the non-stationary nature of the brain signals provides for a rather unstable input. With the use of intelligent ...

2007

Brain-Machine Interfaces through Control of Electroencephalographic Signals and Vibrotactile Feedback

José del Rocio Millán Ruiz

A Brain-Computer Interface (BCI) allow direct expression of its userï¿½s will by interpreting signals which directly reflect the brainï¿½s activity, thus bypassing the natural efferent channels (nerves and muscles). To be correctly mastered, it is needed t ...

2007

Prospects on Brain-Machine Interfaces for Space System Control

José del Rocio Millán Ruiz, Anna Buttfield, Pierre Ferrez

The dream of controlling and guiding computer-based systems using human brain signals has slowly but steadily become a reality. The available technology allows real-time implementation of systems that measure neuronal activity, convert their signals, and t ...

2006

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