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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Book ChapterDOI
Dynamic Coverage and Clustering: A Maximum Entropy Approach
TL;DR: This work defines the problem of minimizing an instantaneous coverage metric as a combinatorial optimization problem in a Maximum Entropy Principle framework, which is formulated specifically for the dynamic setting.
Journal ArticleDOI
Investigation of the dynamical behavior of brain activities during rest and motor imagery movements
Niraj Bagh,M. Ramasubba Reddy +1 more
TL;DR: In this paper , a discrete wavelet transform (DWT) and phase space reconstruction (PSR) technique is employed to identify μ and β frequency bands from raw electroencephalogram (EEG) signals.
Reading your own mind: dynamic visualization of real-time neural signals
TL;DR: This dissertation presents work that addresses opportunities for direct brain control of external devices in applications such as brain injury recovery, human prosthetics, and robotics through BCI control feature screening process for Electrocorticography recordings from clinical epilepsy patients.
Journal ArticleDOI
Sparse representation-based classification with two-dimensional dictionary optimization for motor imagery EEG pattern recognition.
TL;DR: Wang et al. as mentioned in this paper proposed a two-dimensional dictionary optimization (TDDO) method to directly improve the performance of sparse representation-based classification (SRC), which has more advantages in motor imagery EEG pattern recognition.
Posted Content
Hierarchical emotion-recognition framework based on discriminative brain neural network topology and ensemble co-decision strategy
TL;DR: The experiment results demonstrated that MES NP can significantly enhance the classification performance for the multiple emotions and proved the efficiency of MESNP for structured feature extraction in mult-classification emotional task.
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.