What Can Facial Movements Reveal? Depression Recognition and Analysis Based on Optical Flow Using Bayesian Networks
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...
Saved in:
Main Authors: | Yu Ma (Author), Jian Shen (Author), Zeguang Zhao (Author), Huajian Liang (Author), Yang Tan (Author), Zhenyu Liu (Author), Kun Qian (Author), Minqiang Yang (Author), Bin Hu (Author) |
---|---|
Format: | Book |
Published: |
IEEE,
2023-01-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Exploring the Intrinsic Features of EEG Signals via Empirical Mode Decomposition for Depression Recognition
by: Jian Shen, et al.
Published: (2023) -
Facial expression recognition via transfer learning
by: Bin Li
Published: (2021) -
Analysis of upper and lower limb movement in infants in response to optic flow - preliminary research
by: Żaneta Pawlak-Andryszczyk, et al.
Published: (2022) -
Recognition of Facial Expressions in ADHD
by: J Gordon Millichap
Published: (2006) -
Portraits of Automated Facial Recognition On Machinic Ways of Seeing the Face
by: Lee-Morrison, Lila
Published: (2019)