Analyzing Facial Features, Position, and Color Attributes in Social Media Videos for Behavioral Psychology Studies

This thesis investigates the analysis of facial features, positions, skin exposure, and color attributes in social media videos for behavioral psychology research. Utilizing face detection, computer vision, and machine learning, it examines emotional expressions, gaze patterns, and contextual color cues. The findings aim to provide deeper insights into human behavior and social interactions.