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Error-Related EEG Potentials Generated during Simulated Brain-Computer Interaction
Related publications (86)
Heading for new shores! Overcoming pitfalls in BCI design
Ricardo Andres Chavarriaga Lozano
Research in brain-computer interfaces has achieved impressive progress towards implementing assistive technologies for restoration or substitution of lost motor capabilities, as well as supporting technologies for able-bodied subjects. Notwithstanding this ...
Taylor & Francis Ltd2017Spatial filters yield stable features for error-related potentials across conditions
José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Inaki Asier Iturrate Gil, Fumiaki Iwane
Error-related potentials (ErrP) have been increasingly studied in psychophysical experiments as well as for brain-machine interfacing. In the latter case, the generalisation capabilities of ErrP decoders is a crucial element to avoid frequent recalibration ...
2016Reliability and Adaptive Assistance in Brain-Computer Interfaces
Brain-computer interfaces (BCIs) aim at offering an interaction modality for people with severe motor disabilities. Despite promising advances, BCIs are still confronted with multiple challenges in determining user's intentions reliably, mainly due to high ...
EPFL2016Superposition model for steady state visually evoked potentials
José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Jaiber Evelio Cardona Aristizabal, Wilfredo Alfonso Morales
Steady State Visually Evoked Potentials (SSVEP) are signals produced in the occipital part of the brain when someone gaze a light flickering at a fixed frequency. These signals have been used for Brain Machine Interfacing (BMI), where one or more stimuli a ...
2016Alpha neurofeedback training improves SSVEP-based BCI performance
Janir Nuno Ramos Antunes Da Cruz
Objective. Steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs) can provide relatively easy, reliable and high speed communication. However, the performance is still not satisfactory, especially in some users who are not able ...
2016The effect of multimodal and enriched feedback on SMR-BCI performance
José del Rocio Millán Ruiz, Robert Leeb, Serafeim Perdikis
Objective: This study investigated the effect of multimodal (visual and auditory) continuous feedback with information about the uncertainty of the input signal on motor imagery based BCI performance. A liquid floating through a visualization of a funnel ( ...
Elsevier2016Asynchronous Decoding of Error Potentials During the Monitoring of a Reaching Task
Ricardo Andres Chavarriaga Lozano, Inaki Asier Iturrate Gil
Brain-machine interfaces (BMIs) have demonstrated how they can be used for reaching tasks with both invasive and non-invasive signal recording methods. Despite the constant improvements in this field, there still exist diverse factors to overcome before ac ...
2015Decoding Fast-Paced Error-Related Potentials in Monitoring Protocols
José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Inaki Asier Iturrate Gil, Quentin Olivier Pierre Wannebroucq
Error-related EEG potentials (ErrP) can be used for brain-machine interfacing (BMI). Decoding of these signals, indicating subject's perception of erroneous system decisions or actions can be used to correct these actions or to improve the overall interfac ...
2015Action prediction based on anticipatory brain potentials during simulated driving
José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Lucian Andrei Gheorghe, Zahra Khaliliardali
Objective. The ability of an automobile to infer the driver's upcoming actions directly from neural signals could enrich the interaction of the car with its driver. Intelligent vehicles fitted with an on-board brain–computer interface able to decode the dr ...
Institute of Physics2015Exploiting task constraints for self-calibrated brain-machine interface control using error-related potentials
This paper presents a new approach for self-calibration BCI for reaching tasks using error-related potentials. The proposed method exploits task constraints to simultaneously calibrate the decoder and control the device, by using a robust likelihood functi ...
Public Library of Science2015