A robot system helps manage a person's emotional state by observing their facial expressions and listening to their voice, including how fast they speak. It uses this information to create a personal profile of their typical emotional patterns. When the robot notices a deviation from this profile, it provides specific interactions or stimuli to the person. The claims specifically describe using facial and voice data, with the data collection and profile learning potentially handled by separate computing devices.
Why it matters: Filed before the widespread availability of advanced AI models for real-time emotional and speech analysis. The significant progress in machine learning since 2020, particularly in facial recognition and voice sentiment analysis, makes building and refining cognitive state profiles far more accurate and accessible now.
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