AI for Real-Time Emotion Recognition in Human-Computer Interaction
Abstract
This paper introduces an AI-based framework for real-time emotion recognition in human-computer interaction (HCI). The system uses a combination of facial expression analysis, voice tone modulation, and physiological signals to classify emotions with an accuracy of 91%. Applications include virtual assistants, gaming, and mental health monitoring. The study also addresses ethical considerations and privacy concerns associated with emotion recognition technologies.
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