Autoregressive Integrated Adaptive Neural Networks Classifier for EEG-P300 Classification

Autoregressive Integrated Adaptive Neural Networks Classifier for EEG-P300 Classification

<p>Brain Computer Interface has a potency to be applied in mechatronics apparatus and vehicles in the future. Compared to the other techniques, EEG is the most preferred for BCI designs. In this paper, a new adaptive neural network classifier of different mental activities from EEG-based P300...

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Bibliographic Details
Main Authors: Demi Soetraprawata, Arjon Turnip
Format: Article
Language:English
Published: Indonesian Institute of Sciences 2013-06-01
Series:Journal of Mechatronics, Electrical Power, and Vehicular Technology
Subjects:
brain computer interface, feature extraction, classification accuracy, autoregressive, adaptive neural networks, EEG-based P300, transfer rate
Online Access:http://mevjournal.com/index.php/mev/article/view/95

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http://mevjournal.com/index.php/mev/article/view/95

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