Face and Voice Recognition-Based Emotion Analysis System (EAS) to Minimize Heterogeneity in the Metaverse
The metaverse, where users interact through avatars, is evolving to closely mirror the real world, requiring realistic object responses based on users’ emotions. While technologies like eye-tracking and hand-tracking transfer physical movements into virtual spaces, accurate emotion detection remains...
Saved in:
Main Authors: | Surak Son, Yina Jeong |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-01-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/15/2/845 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Gender differences in the recognition of emotional faces: are men less efficient?
by: Ana Ruiz-Ibáñez, et al.
Published: (2017-06-01) -
Perception des asymétries oro-faciales par jugement humain de visages chimériques de babouin lors d'expression d'émotion
by: Catherine Wallez, et al.
Published: (2014-01-01) -
The effect of mild-stage Alzheimer’s disease on the acoustic parameters of voice
by: Emel Arslan-Sarımehmetoğlu, et al.
Published: (2025-02-01) -
STRAIGHTMORPH: A Voice Morphing Tool for Research in Voice Communication Sciences [version 2; peer review: 2 approved, 1 approved with reservations]
by: P Belin, et al.
Published: (2025-01-01) -
Unheard Voices /
by: Blackman,Malorie
Published: (2007)