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2/6/2024 9:25:45 AM | Browse: 106 | Download: 53
Publication Name World Journal of Psychiatry
Manuscript ID 90160
Country/Territory China
2023-11-25 15:02
Peer-Review Started
2023-11-25 15:03
To Make the First Decision
Return for Revision
2023-12-06 03:18
2023-12-18 09:00
Second Decision
2024-01-24 02:46
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2024-01-24 06:59
Articles in Press
2024-01-24 06:59
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript
2024-02-01 00:20
Publish the Manuscript Online
2024-02-06 06:16
ISSN 2220-3206 (online)
Open Access This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Copyright © The Author(s) 2024. Published by Baishideng Publishing Group Inc. All rights reserved.
Article Reprints For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
Permissions For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
Publisher Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
Website http://www.wjgnet.com
Category Computer Science, Artificial Intelligence
Manuscript Type Minireviews
Article Title Automatic recognition of depression based on audio and video: A review
Manuscript Source Invited Manuscript
All Author List Meng-Meng Han, Xing-Yun Li, Xin-Yu Yi, Yun-Shao Zheng, Wei-Li Xia, Ya-Fei Liu and Qing-Xiang Wang
Funding Agency and Grant Number
Funding Agency Grant Number
Shandong Provincial Natural Science Foundation ZR2021MF079
Shandong Province Key R and D Program 2021SFGC0504
Science and Technology Development Plan of Jinan (Clinical Medicine Science and Technology Innovation Plan) 202225054
Corresponding Author Qing-Xiang Wang, PhD, Associate Professor, Shandong Mental Health Center, Shandong University, No. 49 Wenhua East Road, Jinan 250014, Shandong Province, China. wangqx@qlu.edu.cn
Key Words Depression recognition; Deep learning; Automatic depression estimation System; Audio processing; Image processing; Feature fusion; Future development
Core Tip The automatic recognition of depression based on deep learning has gradually become a research hotspot. Researchers have proposed automatic depression estimation (ADE) systems utilizing sound and video data to assist physicians in screening for depression. This article provides an overview of the latest research on ADE systems, focusing on sound and video datasets, current research challenges, and future directions.
Publish Date 2024-02-06 06:16
Citation Han MM, Li XY, Yi XY, Zheng YS, Xia WL, Liu YF, Wang QX. Automatic recognition of depression based on audio and video: A review. World J Psychiatry 2024; 14(2): 225-233
URL https://www.wjgnet.com/2220-3206/full/v14/i2/225.htm
DOI https://dx.doi.org/10.5498/wjp.v14.i2.225
Full Article (PDF) WJP-14-225-with-cover.pdf
Full Article (Word) WJP-14-225.docx
Manuscript File 90160_Auto_Edited-YJP.docx
Answering Reviewers 90160-Answering reviewers.pdf
Audio Core Tip 90160-Audio core tip.mp3
Conflict-of-Interest Disclosure Form 90160-Conflict-of-interest statement .pdf
Copyright License Agreement 90160-Copyright license agreement.pdf
Approved Grant Application Form(s) or Funding Agency Copy of any Approval Document(s) 90160-Grant application form(s).pdf
Non-Native Speakers of English Editing Certificate 90160-Language certificate.pdf
Peer-review Report 90160-Peer-review(s).pdf
Scientific Misconduct Check 90160-Bing-Qu XL-2.png
Scientific Editor Work List 90160-Scientific editor work list.pdf