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Classifying electroencephalogram (EEG) signal in Brain Computer Interface (BCI) is a useful methods to analysis different organs of human body and it can be used for communicate with the outside world and controlling external device. Accuracy classification of extracted features from EEG signals is a problem which many researcher try to improve it. Although many methods for extracting feature and...
An improved AdaBoost algorithm based on optimizing search in sample space is presented. Working with data in large scale need more time to compare samples for finding a threshold in the AdaBoost algorithm when using decision stump as a weak classifier. We used PSO algorithm to evolve and select best feature in sample space for a weak classifier to reduce time. The experiment results show that with...
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