Digital Twin Model: A Real-Time Emotion Recognition System for Personalized Healthcare-Reference-Cited by-同舟云学术

Digital Twin Model: A Real-Time Emotion Recognition System for Personalized Healthcare

Published:2022 Issue: Volume:10 Page:81155-81165
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Subramanian Barathi¹^ORCID,Kim Jeonghong¹^ORCID,Maray Mohammed²^ORCID,Paul Anand¹^ORCID

Affiliation:

1. School of Computer Science and Engineering, Kyungpook National University, Daegu, South Korea

2. College of Computer Science and Information Systems, King Khalid University, Abha, Saudi Arabia

Funder

National Research Foundation of Korea

School of Computer Science and Engineering, Ministry of Education, Kyungpook National University, South Korea, through the BK21 Four Project, AI-Driven Convergence Software Education Research Program

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/ielx7/6287639/9668973/09840353.pdf?arnumber=9840353

Reference39 articles.

1. Facial expression recognition using Support Vector Machines

2. Attributing Emotion to Static Body Postures: Recognition Accuracy, Confusions, and Viewpoint Dependence

3. Facial expression recognition based on Gabor wavelets and sparse representation

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

5. Recognizing emotions from video in a continuous 2D;zöllner,2011

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