180. Catching Feelings with 69% Accuracy: AI Reads Emotions in Sports

What this episode covers

Hosts Daniel and Forbode discuss an AI system that reads human emotions in sports with 69% accuracy, using a convolutional neural network trained on 15 tennis players. The hosts analyze why tennis was chosen for its structured, short-sport spurts and how the model identifies body language and facial cues to detect emotions like burnout or frustration. They explore applications in coaching, sports betting, and potentially customer service, while noting the ethical implications of privacy and cultural biases in emotion detection.