An Algorithm for Motor Imagery Classification Based on Transfer Learning and Feature Fusion

Computer Science

• Transfer Learning 100%
• Feature Fusion 100%
• Spatial Pattern 100%
• Classifier 66%
• Support Vector Machine 33%
• Noise-to-Signal Ratio 33%
• multiple classifier 33%
• Potential Application 33%
• Frequency Component 33%
• Decoding Algorithm 33%
• Computer Interface 33%
• Extracted Information 33%

Biochemistry, Genetics and Molecular Biology

• Electroencephalogram 100%
• Transfer of Learning 100%
• Extract 16%
• Support Vector Machine 16%
• Signal Noise Ratio 16%
• Brain Computer Interface 16%

Neuroscience

• Electroencephalogram 100%
• Brain-Computer Interface 33%
• Support Vector Machine 16%
• Signal-to-Noise Ratio 16%