Multi channel brain EEG signals based emotional arousal classification with unsupervised feature learning using autoencoders

Keyphrases

• Accuracy Rate 33%
• Arousal Classification 100%
• Arousal Recognition 33%
• Autoencoder 100%
• EEG Signals 100%
• EEG Sources 33%
• Emotional Arousal 100%
• Handcrafted Features 33%
• Learned Features 33%
• Learning Approaches 33%
• Multi-channel 100%
• Pattern Recognition Techniques 33%
• Signal Base 100%
• Single-channel EEG 33%
• Statistical Features 33%
• Unsupervised Feature Learning 100%
• Usage Patterns 33%

Computer Science

• Autoencoder 100%
• Learned Feature 33%
• Learning Approach 33%
• Pattern Recognition 33%
• Representation Learning 100%
• Statistical Feature 33%