Facial Emotion Recognition Study
Machine learning study examining cultural differences in facial emotion expression and recognition patterns.
Facial Emotion Recognition Study
Research Questions
How do cultural backgrounds influence both the expression and recognition of facial emotions across different populations?
Methodology
- Facial landmark detection using OpenCV for feature extraction
- CNN architecture for emotion classification
- Cross-cultural validation with participants from 5 different cultural groups
- Statistical analysis of recognition accuracy patterns
Technical Implementation
Deep learning model trained on augmented facial expression datasets with careful attention to cultural representation and bias mitigation.
Contributions
Published findings contribute to understanding of emotional intelligence assessment tools and their cultural validity.