Feature-level fusion approaches based on multimodal EEG data for depression recognition

Computer Science

• Classification Accuracy 100%
• Depressed Patient 100%
• Classifier 50%
• Feature Vector 50%
• Support Vector Machine 50%
• Data Source 50%
• Recognition Accuracy 50%
• Fusion Technique 50%
• Genetic Algorithm 50%
• Decision Trees 50%
• Global Feature 50%
• Linear Combination 50%
• K-Nearest Neighbor Classifier 50%
• Individual Modality 50%