AI-Based Emotion Recognition from Facial Expressions for Human-Computer Interaction
Abstract
Emotion recognition plays a critical role in enhancing human-computer interaction (HCI). This paper presents an AI-based emotion recognition system that uses facial expressions to determine a user’s emotional state in real-time. The system employs deep learning techniques, particularly convolutional neural networks (CNNs), to analyze facial features and classify emotions such as happiness, sadness, and anger. The framework is tested on a large dataset of facial images, demonstrating high accuracy in emotion classification. This research highlights the potential of AI to create more intuitive and responsive human-computer interactions.
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