Deep Learning Models for Emotion Classification in Human Robot Interaction Platforms
Author:
Affiliation:
1. Pontificia Universidad Catolica del Peru,Postgraduate School,Lima,Peru
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9798702/9798453/09798741.pdf?arnumber=9798741
Reference24 articles.
1. Understanding Emotions in Text Using Deep Learning and Big Data
2. Fine-Grained Emotion Detection in Contact Center Chat Utterances
3. Studying Effects of Incorporating Automated Affect Perception with Spoken Dialog in Social Robots
4. Video-based Emotion Recognition Using Deeply-Supervised Neural Networks
5. AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild;mollahosseini;IEEE Transactions on Affective Computing,2019
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1. Improved Mechanism and Emotional Expression System of A Panda-type Emotional Robot;2023 IEEE 23rd International Conference on Software Quality, Reliability, and Security Companion (QRS-C);2023-10-22
2. Human Facial Emotions Recognition Using Customized Deep Convolutional Neural Network;2023 IEEE World Conference on Applied Intelligence and Computing (AIC);2023-07-29
3. Design and Implementation of Telemarketing Robot with Emotion Identification for Human-Robot Interaction;2022 Sixth IEEE International Conference on Robotic Computing (IRC);2022-12
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