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
Kumar et al. (Wed,) studied this question.