AI Identifies Tennis Players’ Emotions with 68.9% Accuracy, Raises Ethical Concerns: KIT Study

Researchers at the Karlsruhe Institute of Technology and the University of Duisburg-Essen have developed an AI model that can identify emotional states from the body language of tennis players with up to 68.9% accuracy. The AI was trained using real-life footage of tennis matches, learning to associate body language signals with different emotional reactions. The study, led by Professor Darko Jekauc, found that both humans and AI are better at recognizing negative emotions. The technology could have applications in sports training, healthcare, education, and customer service, but raises ethical concerns around privacy and data misuse.