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Human Emotion Recognition with EEG Sensors Text - Coggle Diagram
Human Emotion Recognition with EEG Sensors Text
Emotion Recognition Algorithms
Deep Learning
Recurrent Neural Networks (RNN)
Convolutional Neural Networks (CNN)
Feature-Based Methods
Machine Learning
Random Forest
Support Vector Machines
Neural Networks
Time-Frequency Analysis
Emotion Categories
Complex Emotions
Envy
Confusion
Love
Jealousy
Basic Emotions
Anger
Disgust
Sadness
Surprise
Joy
Introduction
Importance of Emotion Recognition
Role of EEG Sensors
Definition of Emotion
EEG Sensor Technology
Event-Related Potentials (ERPs)
Connectivity Measures
Frequency Bands
Gamma
Theta
Beta
Detla
Alpha
Amplitude and Power
Data Collection and Datasets text
Ethical Considerations
Data Augmentation
Emotional EEG Datasets
Challenges in EEG-Based Emotion Recognition
Real-time Processing
Privacy Concerns
Noise and Artifacts
Inter-Subject Variability
Applications
Human-Computer Interaction
Gaming and Entertainment
Healthcare
Autism Spectrum Disorder (ASD) Monitoring
Mental Health Diagnosis
Market Research
Driver and User State Monitoring
Future Trends
Neuromarketing
Multimodal Emotion Recognition
Brain-Computer Interfaces (BCIs)
Ethical and Legal Implications
Wearable EEG Devices
Conclusion
Ongoing Research and Developments
Significance of EEG-Based Emotion Recognition