Publication
Platform for analyzing multi-tasking capabilities during BCI operation
Related publications (37)
Brain-Machine Interfaces: The Perception-Action Closed Loop
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 ...
2015The Plurality of Human Brain-Computer Interfacing
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 Inc2015Interactive Learning from Unlabeled Instructions
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 ...
2014Quantification and Reduction of Visual Load during BCI Operation
José del Rocio Millán Ruiz, Robert Leeb
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 ...
2014Clinical 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 Physics2014Subject-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 ...
2014Subject-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 ...
IEEE2014Transferring BCI skills to successful application controls
José del Rocio Millán Ruiz, Robert Leeb, Serafeim Perdikis, Luca Tonin, Tom Edward Carlson, Andrea Biasiucci, Alberto Molina Arribere, Marco Creatura
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 ...
2013Feel the BCI vibe – vibrotactile BCI feedback
José del Rocio Millán Ruiz, Robert Leeb
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 House2013Brain-Computer Interfaces
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