Researchers developed an AI model that can identify emotional states of tennis players with high accuracy by analyzing their body language during matches. The AI, trained on real-life footage, can detect positive and negative emotions, although it's more adept at recognizing negative ones. This technology has potential applications in sports training, healthcare, and other fields, but raises ethical concerns about privacy and data misuse.
Researchers developed an AI model that can identify emotional states of tennis players with high accuracy by analyzing their body language during matches. The AI, trained on real-life footage, can detect positive and negative emotions, although it's more adept at recognizing negative ones. This technology has potential applications in sports training, healthcare, and other fields, but raises ethical concerns about privacy and data misuse.
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