Towards a Brain Computer Interface using wavelet transform with averaged and time segmented adapted wavelets

作者: Muhammad Bilal Khalid , Naveed Iqbal Rao , Intisar Rizwan-i-Haque , Sarmad Munir , Farhan Tahir

DOI: 10.1109/IC4.2009.4909189

关键词:

摘要: A Brain Computer Interface (BCI) is a system that provides an individual non-muscular way to control his surroundings by working on the activity signals generated in brain. Activity collected from brain form Electroencephalogram (EEG) are used described this paper. Time Domain normalization has been preprocessing stage. Wavelet transform with pattern adapted wavelet filter for purpose of feature extraction. Exact Radial Basis Neural networks classification and heuristic weight adjustment neural was done final decision making. Tests carried out two different datasets give accuracies more than 91% 86%.

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