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Platform for analyzing multi-tasking capabilities during BCI operation

Publications associées (37)

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Brain-Machine Interfaces: The Perception-Action Closed Loop

José del Rocio Millán Ruiz

A brain-machine interface (BMI) is about transforming neural activity into action and sensation into perception (Figure 1). In a BMI system, neural signals recorded from the brain are fed into a decoding algorithm that translates these signals into motor o ...

2015

The Plurality of Human Brain-Computer Interfacing

José del Rocio Millán Ruiz

The articles in this special issue focus on brain-computer interfacing. The papers are dedicated to this growing and diversifying research enterprise, and features important review articles as well as some important current examples of research in this are ...

Ieee-Inst Electrical Electronics Engineers Inc2015

Interactive Learning from Unlabeled Instructions

Inaki Asier Iturrate Gil

Interactive learning deals with the problem of learning and solving tasks using human instructions. It is common in human-robot interaction, tutoring systems, and in human-computer interfaces such as brain-computer ones. In most cases, learning these tasks ...

2014

Operating a brain-actuated vehicle in real world environment requires much of our visual attention. However, a typical brain-computer interface (BCI) sends the feedback information about the current status of the user’s brain via also the visual channel. A ...

2014

Clinical evaluation of BrainTree, a motor imagery hybrid BCI speller

José del Rocio Millán Ruiz, Robert Leeb, Serafeim Perdikis, Michele Tavella

Objective. While brain-computer interfaces (BCIs) for communication have reached considerable technical maturity, there is still a great need for state-of-the-art evaluation by end-users outside laboratory environments. To achieve this primary objective, i ...

Institute of Physics2014

Subject-oriented training for motor imagery brain-computer interfaces

José del Rocio Millán Ruiz, Robert Leeb, Serafeim Perdikis

Successful operation of motor imagery (MI)-based brain-computer interfaces (BCI) requires mutual adaptation between the human subject and the BCI. Traditional training methods, as well as more recent ones based on co-adaptation, have mainly focused on the ...

2014

Subject-oriented training for motor imagery brain-computer interfaces

José del Rocio Millán Ruiz, Robert Leeb, Serafeim Perdikis

IEEE2014

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The goal of our research is to enable various end-users to control applications by using a brain-computer interface (BCI). Since applications–like telepresence robots, wheelchairs or text entry systems–are quite demanding a good level of BCI control is nee ...

2013

Controlling a device via a brain-computer interface (BCI) requires the participant to look and to split the attention between the device and the BCI feedback, which is partly contradictory. Therefore, a stimulation system based on 6 coin-motors is develope ...

Graz University of Technology Publishing House2013

Brain-Computer Interfaces

José del Rocio Millán Ruiz

This chapter introduces the filed of brain-computer interfaces (BCI), also called brain-machine interfaces (BMI), which has seen impressive achievements over the past few years. A BCI monitors the user’s brain activity, extracts specific features from the ...

John Wiley & Sons2013