Towards Enhanced Emotional Interaction in the Metaverse

In the current context, as the metaverse emerges as an immersive digital space for social and professional interactions, understanding and appropriately responding to human emotions becomes critical. This paper presents an innovative approach for emotion detection and analysis in virtual environments, combining facial recognition technologies and physiological signal analysis through deep learning algorithms. Thus, this approach enhances interaction and customization in the metaverse, highlighting the importance of addressing these concerns to maximize the potential of emotional detection.