Objective Emotion Quantification in the Metaverse Using Brain Computer Interfaces

Anca O. Muresan, Meenalosini V. Cruz, Felix G. Hamza-Lup

Research output: Contribution to book or proceedingConference articlepeer-review

Abstract

Certain human emotions can be quantified by processing electroencephalography (EEG) data. Recent advances in Brain Computer Interfaces (BCI) allow us to record, process and determine user functional intent and emotional implication from such data. The Metaverse captures an extensive spectrum of multi-modal content on the Internet including social media, games, videos, and more complex VR, AR, MR platforms. We propose an objective method to quantify user emotion using EEG data collected through non-invasive BCIs during user interaction. BCI’s qualify as IoT sensors that record EEG data in real-time as users are exploring multimedia content through several emotion-generating scenarios.

Original languageEnglish
Title of host publicationInternet of Things. Advances in Information and Communication Technology - 6th IFIP International Cross-Domain Conference, IFIPIoT 2023, Proceedings
EditorsDeepak Puthal, Saraju Mohanty, Baek-Young Choi
PublisherSpringer Science and Business Media Deutschland GmbH
Pages353-361
Number of pages9
ISBN (Print)9783031458774
DOIs
StatePublished - 2024
Event6th IFIP International Conference on Internet of Things, IFIP IoT 2023 - Denton, United States
Duration: Nov 2 2023Nov 3 2023

Publication series

NameIFIP Advances in Information and Communication Technology
Volume683 AICT
ISSN (Print)1868-4238
ISSN (Electronic)1868-422X

Conference

Conference6th IFIP International Conference on Internet of Things, IFIP IoT 2023
Country/TerritoryUnited States
CityDenton
Period11/2/2311/3/23

Keywords

  • Affective Computing
  • Brain Computer Interfaces
  • Emotion Assessment
  • IoT
  • Metaverse

Fingerprint

Dive into the research topics of 'Objective Emotion Quantification in the Metaverse Using Brain Computer Interfaces'. Together they form a unique fingerprint.

Cite this