Open Access Open Access  Restricted Access Subscription or Fee Access

Real-Time Training of Voted Perceptron for Classification of EEG Data

Ignas Martišius, Kęstutis Šidlauskas, Robertas Damaševičius


Brain-computer interface (BCI) is a communication system that translates brain activity into commands for a computer or other digital device. BCI applications have strict time constraints for signal processing. Therefore, BCI systems and parts thereof must be considered as real-time systems subject to the requirements for correctness and guaranteed response. The classifier, which maps electroencephalography (EEG) signal features to device control instructions, is the most computationally expensive part of the BCI systems. Most of the modern classification methods produce good results on the benchmark EEG datasets, however their training and classification times are unacceptable for real-time BCI applications. In this paper, we analyse dataset transformations to reduce classifier training time and present a modified version of the Voted Perceptron algorithm subject to the real-time constraint.


Voted Perceptron, Artificial Neural Networks, Machine Learning, Data Mining, EEG, Brain-Computer Interface.

Full Text:


Disclaimer/Regarding indexing issue:

We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information.