What Can Facial Movements Reveal? Depression Recognition and Analysis based on Optical Flow using Bayesian Networks

• Published in: IEEE transactions on neural systems and rehabilitation engineering Vol. 31; p. 1
• Main Authors: Ma, Yu, Shen, Jian, Zhao, Zeguang, Liang, Huajian, Tan, Yang, Liu, Zhenyu, Qian, Kun, Yang, Minqiang, Hu, Bin
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.01.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Action Units; Bayes methods; Bayesian analysis; Bayesian Networks; Construction; Correlation coefficient; Correlation coefficients; Data collection; Depression; Depression Recognition; Discrete Wavelet Transform; Discrete wavelet transforms; Face recognition; Facial Expressions; Feature extraction; Feature recognition; Medical services; Mental depression; Networks; Optical Flow; Optical flow (image analysis); Pattern recognition; Stimuli; Wavelet analysis

Recent evidence have demonstrated that facial expressions could be a valid and important aspect for depression recognition. Although various works have been achieved in automatic depression recognition, it is a challenge to explore the inherent nuances of facial expressions that might reveal the und...