Convolutional Features-Based Broad Learning With LSTM for Multidimensional Facial Emotion Recognition in Human–Robot Interaction-Reference-Cited by-同舟云学术

Convolutional Features-Based Broad Learning With LSTM for Multidimensional Facial Emotion Recognition in Human–Robot Interaction

Published:2024-01 Issue:1 Volume:54 Page:64-75
ISSN:2168-2216
Container-title:IEEE Transactions on Systems, Man, and Cybernetics: Systems
language:
Short-container-title:IEEE Trans. Syst. Man Cybern, Syst.

Author:

Chen Luefeng¹^ORCID,Li Min¹,Wu Min¹^ORCID,Pedrycz Witold²^ORCID,Hirota Kaoru³^ORCID

Affiliation:

1. School of Automation, the Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, and the Engineering Research Center of Intelligent Technology for Geo-Exploration, Ministry of Education, China University of Geosciences, Wuhan, China

2. Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada

3. Tokyo Institute of Technology, Tokyo, Japan

Funder

National Natural Science Foundation of China

111 Project

Fundamental Research Funds for the Central Universities, China University of Geosciences

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering,Software

Link

http://xplorestaging.ieee.org/ielx7/6221021/10364887/10230021.pdf?arnumber=10230021