Bispectrum-based feature extraction technique for devising a practical brain-computer interface

Engineering

• Brain-Computer Interface 100%
• Feature Extraction 100%
• Motor Imagery 100%
• Gaussians 40%
• Detection Task 20%
• Non-Linear Dynamic 20%
• Performance Measure ψ 20%
• Classification Accuracy 20%
• Mutual Information 20%
• Frequency Component 20%
• Power Spectral Density 20%
• Higher order statistics 20%

Computer Science

• Computer Interface 100%
• Feature Extraction 100%
• Electroencephalogram 60%
• Classification Accuracy 20%
• Performance Measure 20%
• Nonlinear Interaction 20%
• Higher-Order Statistics 20%
• Linear Discriminant Analysis 20%
• Mutual Information 20%
• Detection Accuracy 20%
• Frequency Component 20%
• Power Spectral Density 20%