Classification of EEG signals using Common Spatial Pattern-Principle Component Analysis and Interval Type-2 Fuzzy Logic System

Engineering

• Component Analysis 100%
• Fuzzy Logic System 100%
• Brain-Computer Interface 100%
• Common Spatial Pattern 100%
• Feature Extraction 50%
• Main Problem 50%
• Classification Accuracy 50%
• Noise Filtering 50%
• Bandpass Filter 50%
• Human Brain 50%

Computer Science

• Principle Component Analysis 100%
• Spatial Pattern 100%
• type-2 fuzzy logic 100%
• Computer Interface 50%
• Translation System 50%
• Classification Accuracy 50%
• Direct Communication 50%
• Band-Pass Filter 50%
• Feature Extraction 50%

Neuroscience

• Electroencephalogram 100%
• Brain-Computer Interface 66%