Analysis and Recognition of Voluntary Facial Expression Mimicry Based on Depressed Patients

Author:

Ye Jiayu1ORCID,Yu Yanhong2,Fu Gang1,Zheng Yunshao3,Liu Yang2,Zhu Yitao4,Wang Qingxiang1ORCID

Affiliation:

1. Faculty of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China

2. Shandong University of Traditional Chinese Medicine, Jinan, China

3. Shandong Mental Health Center, Shandong University, Jinan, China

4. Yunnan University of Traditional Chinese Medicine, Kunming, China

Funder

Shandong Provincial Natural Science Foundation of China

National Natural Science Foundation of China

Shandong Province Key R&D Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Reference44 articles.

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

2. Attention is all you need;vaswani;Proc 31st Int Conf Neural Inf Process Syst,0

3. The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression

4. An image is worth 16×16 words: Transformers for image recognition at scale;dosovitskiy,2021

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1. TSFFM: Depression detection based on latent association of facial and body expressions;Computers in Biology and Medicine;2024-01

2. LI-FPN: Depression and Anxiety Detection from Learning and Imitation;2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM);2023-12-05

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