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
-
Emotion Recognition by Facial Expression and Voice: Review and Analysis
by: Yixen Lim, et al.
Published: (2022-09-01) -
Speech Emotion Recognition Based on Voice Fundamental Frequency
by: Teodora DIMITROVA-GREKOW, et al.
Published: (2019-04-01) -
Performance Evaluation of A Three-Modality Biometric System using Multinomial Regression
by: Bopatriciat Boluma Mangata, et al.
Published: (2025-06-01) -
Comparison of subjective and objective speaker recognition under voice disguise conditions
by: Wojciech Majewski
Published: (2014-01-01) -
Integration of Hand Gesture and Voice Command Control for Smart Wheelchairs
by: Muzna Shahid, et al.
Published: (2024-12-01)