Journal ArticleDOI
The non-invasive Berlin Brain-Computer Interface: fast acquisition of effective performance in untrained subjects.
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TLDR
It is proposed that the key to quick efficiency in the BBCI system is its flexibility due to complex but physiologically meaningful features and its adaptivity which respects the enormous inter-subject variability.About:
This article is published in NeuroImage.The article was published on 2007-08-15. It has received 865 citations till now. The article focuses on the topics: Brain–computer interface.read more
Citations
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Proceedings ArticleDOI
Class-distinctiveness-based frequency band selection on the Riemannian manifold for oscillatory activity-based BCIs: preliminary results
TL;DR: In this article , a frequency band selection method for Riemannian BCIs is proposed, where the frequency band is selected considering the class distinctiveness as quantified based on the inter-class distance and the intra-class variance on the manifold.
Journal ArticleDOI
Double Stage Transfer Learning for Brain–Computer Interfaces
TL;DR: Li et al. as mentioned in this paper proposed a double-stage transfer learning (DSTL) algorithm which applied transfer learning to both preprocessing stage and feature extraction stage of typical BCIs, which can reduce the difference between the source domain and the target domain.
Journal ArticleDOI
Accuracy Comparison of Motor Imagery Performance Evaluation Factors Using EEG Based Brain Computer Interface by Neurofeedback Effectiveness
TL;DR: A need is proposed for an optimized algorithm applicable to the robust motor imagery evaluation system with more useful functionalities to find realistic applicability using neurofeedback EEG based BCI algorithm.
Proceedings ArticleDOI
Mining of EEG Signals for Interpretation of Human Brain Related Ailments: A Survey
TL;DR: A comprehensive comparison of state-of-the-arts methods like spatial analysis, wavelet analysis, frequency domain analysis, artificial neural networks, deep neural networks etc have been done and presented in a tabular manner.
References
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Book
Adaptive Filter Theory
TL;DR: In this paper, the authors propose a recursive least square adaptive filter (RLF) based on the Kalman filter, which is used as the unifying base for RLS Filters.
Book
Introduction to Statistical Pattern Recognition
TL;DR: This completely revised second edition presents an introduction to statistical pattern recognition, which is appropriate as a text for introductory courses in pattern recognition and as a reference book for workers in the field.
Journal ArticleDOI
Brain-computer interfaces for communication and control.
Jonathan R. Wolpaw,Jonathan R. Wolpaw,Niels Birbaumer,Niels Birbaumer,Dennis J. McFarland,Gert Pfurtscheller,Theresa M. Vaughan +6 more
TL;DR: With adequate recognition and effective engagement of all issues, BCI systems could eventually provide an important new communication and control option for those with motor disabilities and might also give those without disabilities a supplementary control channel or a control channel useful in special circumstances.
Journal ArticleDOI
Event-related EEG/MEG synchronization and desynchronization: basic principles.
TL;DR: Quantification of ERD/ERS in time and space is demonstrated on data from a number of movement experiments, whereby either the same or different locations on the scalp can display ERD and ERS simultaneously.