Cloud-Edge Collaborative Depression Detection Using Negative Emotion Recognition and Cross-Scale Facial Feature Analysis
Author:
Affiliation:
1. School of Management, Hefei University of Technology, Hefei, China
2. State Key Laboratory of Space Medicine Fundamentals and Application, China Astronaut Research and Training Center, Beijing, China
Funder
National Natural Science Foundation of China
Opening Foundation of the State Key Laboratory of Space Medicine Fundamentals and Application
China Manned Space Advanced Research Project
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/9424/10064202/09745320.pdf?arnumber=9745320
Reference29 articles.
1. Depression severity is associated with impaired facial emotion processing in a large international sample
2. Negative Emotions and the Course of Depression During Psychotherapy in Suicidal Older Adults With Depression and Cognitive Impairment
3. Automatic Depression Analysis Using Dynamic Facial Appearance Descriptor and Dirichlet Process Fisher Encoding
4. Multimodal Depression Detection: Fusion Analysis of Paralinguistic, Head Pose and Eye Gaze Behaviors
5. Facial emotion recognition, theory of mind and the role of facial mimicry in depression
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4. Bi-Model Emotional AI for Audio-Visual Human Emotion Detection Using Hybrid Deep Learning Model;EAI/Springer Innovations in Communication and Computing;2024
5. Fusing Local-Global Facial Features by NFFT for Automatic Depression Estimation;2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM);2023-12-05
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