CNN Learning Strategy for Recognizing Facial Expressions-Reference-Cited by-同舟云学术

CNN Learning Strategy for Recognizing Facial Expressions

Published:2023 Issue: Volume:11 Page:70865-70872
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Lee Dong-Hwan¹^ORCID,Yoo Jang-Hee¹^ORCID

Affiliation:

1. Electronics and Telecommunications Research Institute (ETRI), Daejeon, South Korea

Funder

Korean Government (MSIT) through the Development of AI Technology for Early Screening of Infant/Child Autism Spectrum Disorders Based on Cognition of the Psychological Behavior and Response

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10177800.pdf?arnumber=10177800

Reference49 articles.

1. Facial expression recognition based on Local Binary Patterns: A comprehensive study

2. Human emotions detection based on a smart-thermal system of thermographic images

3. A Thermal Infrared Face Database With Facial Landmarks and Emotion Labels

4. Facial Expression Recognition with Fusion Features Extracted from Salient Facial Areas

5. Deep Facial Expression Recognition: A Survey

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