Name
Title | ||
|---|---|---|
Comparing ANN, LDA, QDA, KNN and SVM algorithms in classifying relaxed and stressful mental state from two-channel prefrontal EEG data |
Abstract | ||
|---|---|---|
This paper attempts to explore the feasibility of classifying relaxed and stressful mental states based on two-channel prefrontal EEG signal from 35 healthy human subjects. Specific objective of this paper is to explore the best choice of features and compare the performance of various feature classification algorithms suitable for this purpose. Here, we included different bivariate features in time domain and frequency domain and compared the classification performance of artificial neural network, linear discriminant analysis, quadratic discriminant analysis (QDA), K nearest neighbour and support vector machine algorithms. Common spatial patterns (CSP) algorithm was used successfully for feature reduction. Best classification performance (99.69%) was observed with the QDA classifier taking cross-correlation estimate as feature. We also explored the effect of combining different kinds of features, effect of varying the number of features on classifier performance, robustness of the chosen methods against in inter-individual variability and the feasibility of developing subject-independent classifiers. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1504/IJAISC.2012.049010 | IJAISC |
Keywords | Field | DocType |
frequency domain,feature reduction,two-channel prefrontal eeg data,best choice,qda classifier,stressful mental state,best classification performance,svm algorithm,different kind,classifier performance,various feature classification,different bivariate feature,classification performance,support vector machine,cross covariance,artificial neural network,eeg,csp,knn,svm,cross correlation,quadratic discriminant analysis | Computer science,Robustness (computer science),Artificial intelligence,Artificial neural network,Bivariate analysis,Classifier (linguistics),Pattern recognition,Support vector machine,Algorithm,Linear discriminant analysis,Statistical classification,Machine learning,Quadratic classifier | Journal |
Volume | Issue | Citations |
3 | 2 | 3 |
PageRank | References | Authors |
0.44 | 17 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Subhrangsu Aditya | 1 | 3 | 0.78 |
| D. N. Tibarewala | 2 | 68 | 11.88 |