Close
Researchers from KIT and the University of Duisburg Essen have developed an AI model for emotion analysis in tennis players, achieving up to 68.9% accuracy in detecting affective states. The study focused on analyzing real video recordings of tennis players during competitions using computer-based pattern recognition programs.
The AI model was trained on real scenes of 15 tennis players exhibiting body language cues such as lowered head, celebration gestures, or differences in walking speed to identify affective states. Interestingly, both humans and AI were found to be better at recognizing negative emotions, possibly due to clearer expressions and evolutionary reasons. The research highlights the potential applications of emotion recognition technology in various fields like sports, healthcare, and customer service.
India Education Diary 14month
The Conversation on MSN.com 7month
TechCrunch on MSN.com 7month
TechCrunch on MSN.com 10month
Isomorphic Labs, the AI drug discovery platform that was spun out of Google's DeepMind in 2021, has raised external capital for the first time. The $600
How to level up your teaching with AI. Discover how to use clones and GPTs in your classroom—personalized AI teaching is the future.
Trump's Third Term? AI already knows how this can be done. A study shows how OpenAI, Grok, DeepSeek & Google outline ways to dismantle U.S. democracy.
Sam Altman today revealed that OpenAI will release an open weight artificial intelligence model in the coming months. "We are excited to release a powerful new open-weight language model with reasoning in the coming months," Altman wrote on X.
Log in
Sign Up
AI Tools - Popular
AI Tools - Categories
GPTs - Categories
AI for Jobs
