EEG Emotion Prediction

About This Model

This EEG-based emotion prediction model analyzes brain wave patterns to detect emotional states. The model can classify emotions into three categories:

• Negative - indicating sadness, anger, or fear
• Neutral - indicating a calm or balanced state
• Positive - indicating happiness, excitement, or joy

How to Use

• Download the CSV template using the link below
• Fill in your EEG data following the template format
• Upload your completed CSV file
• Get instant predictions with confidence scores

Note: The model expects specific EEG features including mean values, standard deviations, FFT components, and other signal processing metrics. Please use the template to ensure correct data format.