A Hybrid Latent Space Data Fusion Method for Multimodal Emotion Recognition

A Hybrid Latent Space Data Fusion Method for Multimodal Emotion Recognition

Multimodal emotion recognition is an emerging interdisciplinary field of research in the area of affective computing and sentiment analysis. It aims at exploiting the information carried by signals of different nature to make emotion recognition systems more accurate. This is achieved by employing a...

Full description

Bibliographic Details
Main Authors: Shahla Nemati, Reza Rohani, Mohammad Ehsan Basiri, Moloud Abdar, Neil Y. Yen, Vladimir Makarenkov
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Affective computing
emotion recognition
latent space model
multimodal fusion
Online Access:https://ieeexplore.ieee.org/document/8911364/

Internet

https://ieeexplore.ieee.org/document/8911364/

Similar Items