Deep Learning-Based Facial Emotion Detection in the Metaverse

Brij B. Gupta, Akshat Gaurav, Kwok Tai Chui, Varsha Arya
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Abstract

The Metaverse is currently becoming a massive technology platform and is considered to be the next significant development in global technology and business landscapes. The metaverse is touted as an exciting new technology amalgamation facilitating next-level immersive experiences for users. It merges physical and virtual reality and provides channels for multisensory interactions and immersions in a variety of environments. As the metaverse is still in its early stages, there is very little research in the field of emotion recognition in the metaverse. In this context, we propsed a deep CNN-based emotion detection model for the metaverse. Our proposed approach efficiently detects the emotions of users in the metaverse.
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元宇宙中基于深度学习的面部情绪检测
元宇宙目前正在成为一个巨大的技术平台,被认为是全球技术和商业领域的下一个重要发展。元宇宙被认为是一种令人兴奋的新技术组合,可为用户提供更高层次的沉浸式体验。它融合了物理和虚拟现实,提供了在各种环境中进行多感官互动和沉浸式体验的渠道。由于元宇宙仍处于早期阶段,在元宇宙中进行情感识别的研究还很少。在此背景下,我们提出了一种基于深度 CNN 的元宇宙情感检测模型。我们提出的方法可以有效地检测元海外用户的情绪。
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