Enhancing Emotion Recognition through Federated Learning: A Multimodal Approach with Convolutional Neural Networks

Enhancing Emotion Recognition through Federated Learning: A Multimodal Approach with Convolutional Neural Networks

Human–machine interaction covers a range of applications in which machines should understand humans’ commands and predict their behavior. Humans commonly change their mood over time, which affects the way we interact, particularly by changing speech style and facial expressions. As interaction requi...

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Bibliographic Details
Main Authors: Nikola Simić, Siniša Suzić, Nemanja Milošević, Vuk Stanojev, Tijana Nosek, Branislav Popović, Dragana Bajović
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Applied Sciences
Subjects:
artificial intelligence
emotion recognition
federated learning
machine learning
multimodal
Online Access:https://www.mdpi.com/2076-3417/14/4/1325

Internet

https://www.mdpi.com/2076-3417/14/4/1325

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