Sequential fusion of facial appearance and dynamics for depression recognition

Sequential fusion of facial appearance and dynamics for depression recognition

In mental health assessment, it is validated that nonverbal cues like facial expressions can be indicative of depressive disorders. Recently, the multimodal fusion of facial appearance and dynamics based on convolutional neural networks has demonstrated encouraging performance in depression analysis...

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Bibliographic Details
Main Authors: Chen, Qian, Chaturvedi, Iti, Ji, Shaoxiong, Cambria, Erik
Other Authors: School of Computer Science and Engineering
Format: Article
Language:English
Published: 2022
Subjects:
Engineering::Computer science and engineering
Depression Recognition
Facial Representation
Online Access:https://hdl.handle.net/10356/159952
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Institution: Nanyang Technological University
Language: English

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https://hdl.handle.net/10356/159952

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