Multidisciplinary Deep Learning Approaches for Emotion Recognition in Human–Computer Interaction Systems: A Comprehensive Review
This review synthesises the state of the art in deep learning-based emotion recognition by outlining promising directions, including foundation-model-driven affective reasoning, neuro-symbolic integration, and personalised continual learning, offering a roadmap for researchers seeking to advance emotionally intelligent...