Title :
Comparison of Five Different Classifiers for Classification of Mental Tasks
Author :
Rezaei, Siamak ; Tavakolian, Kouhyar ; Naziripour, Kiarash
Author_Institution :
Comput. Sci., University of Northern British Columbia, BC
Abstract :
In this work we consider classification of mental tasks from EEG signal by using five different classifiers. These include neural network, Bayesian graphical network, Bayesian quadratic classifier, hidden Markov model and Fisher linear classifier. The experimental results are compared to each other. The Bayesian network appears to have comparable accuracy with the best classifier of the five but the classification time for it is more than others
Keywords :
Bayes methods; electroencephalography; hidden Markov models; medical signal processing; neural nets; signal classification; Bayesian graphical network; Bayesian quadratic classifier; EEG signal; Fisher linear classifier; hidden Markov model; mental task classification; neural network; Bayesian methods; Biological neural networks; Biomedical computing; Brain computer interfaces; Brain modeling; Electroencephalography; Feature extraction; Hidden Markov models; Iterative algorithms; Signal processing algorithms;
Conference_Titel :
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location :
Shanghai
Print_ISBN :
0-7803-8741-4
DOI :
10.1109/IEMBS.2005.1615860
