A comprehensive survey on automatic facial action unit analysis

R Zhi, M Liu, D Zhang - The Visual Computer, 2020 - Springer
Abstract Facial Action Coding System is the most influential sign judgment method for facial
behavior, and it is a comprehensive and anatomical system which could encode various …

[HTML][HTML] Human emotions recognition, analysis and transformation by the Bioenergy Field in smart grid using image processing

G Chhabra, EM Onyema, S Kumar, M Goutham… - Electronics, 2022 - mdpi.com
The passage of electric signals throughout the human body produces an electromagnetic
field, known as the human biofield, which carries information about a person's psychological …

Deep pain: Exploiting long short-term memory networks for facial expression classification

P Rodriguez, G Cucurull, J Gonzàlez… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
Pain is an unpleasant feeling that has been shown to be an important factor for the recovery
of patients. Since this is costly in human resources and difficult to do objectively, there is the …

Facial emotion recognition using convolutional neural networks

K Sarvakar, R Senkamalavalli, S Raghavendra… - Materials Today …, 2023 - Elsevier
Emotional expressivity has always been a simple job for people, but computer programming
is much harder to accomplish. Image emotions may be recognised by recent developments …

Emotion recognition from facial expression using deep convolutional neural network

DY Liliana - Journal of physics: conference series, 2019 - iopscience.iop.org
Automatic facial expression recognition is an actively emerging research in Emotion
Recognition. This paper extends the deep Convolutional Neural Network (CNN) approach to …

An integrated framework for emotion recognition using speech and static images with deep classifier fusion approach

K Jayanthi, S Mohan - International Journal of Information Technology, 2022 - Springer
Research on emotion recognition is witnessing an increasing trend in recent years due to
escalation in stress level of humans. Human emotions in most cases are identified through …

Farapy: An augmented reality feedback system for facial paralysis using action unit intensity estimation

G Barrios Dell'Olio, M Sra - The 34th annual ACM symposium on user …, 2021 - dl.acm.org
Facial paralysis is the most common facial nerve disorder. It causes functional and aesthetic
deficits that often lead to emotional distress and affect psychosocial well-being. One form of …

Multi view facial action unit detection based on CNN and BLSTM-RNN

J He, D Li, B Yang, S Cao, B Sun… - 2017 12th IEEE …, 2017 - ieeexplore.ieee.org
This paper presents our work in the FG 2017 Facial Expression Recognition and Analysis
challenge (FERA 2017) and we participate in the AU occurrence sub-challenge. Our work of …

A transfer learning approach to heatmap regression for action unit intensity estimation

I Ntinou, E Sanchez, A Bulat, M Valstar… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Action Units (AUs) are geometrically-based atomic facial muscle movements known to
produce appearance changes at specific facial locations. Motivated by this observation we …

Bilateral ordinal relevance multi-instance regression for facial action unit intensity estimation

Y Zhang, R Zhao, W Dong… - Proceedings of the …, 2018 - openaccess.thecvf.com
Automatic intensity estimation of facial action units (AUs) is challenging in two aspects. First,
capturing subtle changes of facial appearance is quiet difficult. Second, the annotation of AU …