Work

MEET: The Music Event Emotion Tracking Metaverse

Year: 2025

Type: conference-paper

Abstract: This paper presents the Music Event Emotion Tracking (MEET) Metaverse, which is one of the demo results produced within the FUN-Media project. The MEET Metaverse is a virtual disco where multiple users can join together through their avatars to enjoy musical events. The peculiar characteristic of the MEET Metaverse is that the emotions of participants are inferred from their facial expressions and speech, and are used to select the next song to be played in the disco based on the average emotional state of participants. Moreover, avatars’ facial poses are updated based on participants’ emotions, and realistic avatar animations are reproduced using a combination of motion retargeting and high-fidelity appearance modeling.

Source: International Conference on Quality of Multimedia Experience (QoMEX)

DOI: 10.1109/qomex65720.2025.11219968

Authors: Luigi Atzori, Gulnaziye Bingol, Concetta Cantone, Nicola Conci, Matteo Fasa, Alessandro Floris, Giulia Martinelli, Marina Samarotto, Salvatore Serrano

Institutions: University of Cagliari, University of Trento, University of Messina

Language: English

Topic: Emotion and Mood Recognition

Subfield: Experimental and Cognitive Psychology

Field: Psychology

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W4415822399

FWCI:

Cites: 8

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