Classification of EEG data using FHT and SVM based on Bayesian Network
Brain Computer Interface (BCI) enables the capturing and processing of motor imagery related brain signals which can be interpreted by computers. BCI systems capture the motor imagery signals via Electroencephalogram or Electrocorticogram. The processing of the signal is usually attempted by extracting feature vectors in the frequency domain and using classification algorithms to interpret the motor imagery action.
In this paper we investigate the motor imagery signals obtained from BCI competition dataset IVA using the Fast Hartley Transform (FHT) for feature vector extraction and feature reduction using support vector machine. The processed data is trained and classified using the Bayes Net.
Keywords: Brain Computer Interface (BCI),Electroencephalogram (EEG), Fast Hartley Transform (FHT), Bayes Net (BN)
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ABOUT THE AUTHORS
V. Baby Deepa
V.Baby Deepa, received her Bachelors and Masters degree in Computer Science from Barathidasan University, Trichy and received her M.Phil. Degree as well from the same university. She has 14 years of teaching experience. Besides being an Assistant professor in the faculty of software Engineering, she is serving as the head for the same faculty in M.Kumarasamy College of Engineering, Karur. She has presented more than 16 papers on various topics including national, international conference and journals. She is a research scholar of Anna University Chennai and her research area is Fuzzy and Data Mining.
Dr. P. Thangaraj
Dr.P.Thangaraj, received Bachelor’s and Master’s in Mathematics from Madras University in 1981 and 1983. He completed his M.Phil degree in the year 1993 from Bharathiar University and research work on Fuzzy Metric Spaces and awarded Ph.D degree by Bharathiar University. He completed the post graduation in Computer Applications at IGNOU in 2005 and Master of Engineering degree in Computer Science in the year 2007 at Vinayaka Missions University. Currently he is a Professor Head of Computer Science and Engineering in Bannariamman College of Engineering and Technology.
V. Baby Deepa
V.Baby Deepa, received her Bachelors and Masters degree in Computer Science from Barathidasan University, Trichy and received her M.Phil. Degree as well from the same university. She has 14 years of teaching experience. Besides being an Assistant professor in the faculty of software Engineering, she is serving as the head for the same faculty in M.Kumarasamy College of Engineering, Karur. She has presented more than 16 papers on various topics including national, international conference and journals. She is a research scholar of Anna University Chennai and her research area is Fuzzy and Data Mining.
Dr. P. Thangaraj
Dr.P.Thangaraj, received Bachelor’s and Master’s in Mathematics from Madras University in 1981 and 1983. He completed his M.Phil degree in the year 1993 from Bharathiar University and research work on Fuzzy Metric Spaces and awarded Ph.D degree by Bharathiar University. He completed the post graduation in Computer Applications at IGNOU in 2005 and Master of Engineering degree in Computer Science in the year 2007 at Vinayaka Missions University. Currently he is a Professor Head of Computer Science and Engineering in Bannariamman College of Engineering and Technology.
