Deep Learning-Based Facial Emotion Detection in the Metaverse

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)

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.

Original languageEnglish
Title of host publication2024 IEEE International Conference on Consumer Electronics, ICCE 2024
ISBN (Electronic)9798350324136
DOIs
Publication statusPublished - 2024
Event2024 IEEE International Conference on Consumer Electronics, ICCE 2024 - Las Vegas, United States
Duration: 6 Jan 20248 Jan 2024

Publication series

NameDigest of Technical Papers - IEEE International Conference on Consumer Electronics
ISSN (Print)0747-668X
ISSN (Electronic)2159-1423

Conference

Conference2024 IEEE International Conference on Consumer Electronics, ICCE 2024
Country/TerritoryUnited States
CityLas Vegas
Period6/01/248/01/24

Keywords

  • Augmented Reality
  • CNN
  • Deep Learning
  • Metaverse
  • Virtual Reality

Fingerprint

Dive into the research topics of 'Deep Learning-Based Facial Emotion Detection in the Metaverse'. Together they form a unique fingerprint.

Cite this