Algorithm analyzes facial expressions in real-time, enhancing user engagement in emotional computing.
Facial Emotion Recognition (FER) is a pivotal component of Affective Computing, enabling machines to interpret human psychological states. Traditional FER systems often operate in isolation, lacking real-time interactive feedback or user engagement mechanisms. In this paper, we propose
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Kumar et al. (2026) studied this question.
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