This research project is a pivotal exploration at the crossroads of the use of machine learning for facial gesture detection, which involves interpreting facial emotions. Key steps in the process include data gathering, preprocessing, feature extraction, and model building. Facial expressions are emphasized as crucial for conveying emotions and fostering social connections. The role of AI in facial emotion recognition, utilizing machine learning and computer vision, is also acknowledged. In conclusion, the integration of nuanced facial gestures with AI-driven facial emotion recognition holds significant potential for improving interactions and applications.
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Bakkialakshmi et al. (2024) studied this question.
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