A survey of emotion recognition methods with emphasis on E-Learning environments

M Imani, GA Montazer - Journal of Network and Computer Applications, 2019 - Elsevier
Emotions play an important role in the learning process. Considering the learner's emotions
is essential for electronic learning (e-learning) systems. Some researchers have proposed …

Social signal processing: Survey of an emerging domain

A Vinciarelli, M Pantic, H Bourlard - Image and vision computing, 2009 - Elsevier
The ability to understand and manage social signals of a person we are communicating with
is the core of social intelligence. Social intelligence is a facet of human intelligence that has …

Facial action unit detection with transformers

GM Jacob, B Stenger - … of the IEEE/CVF conference on …, 2021 - openaccess.thecvf.com
Abstract The Facial Action Coding System is a taxonomy for fine-grained facial expression
analysis. This paper proposes a method for detecting Facial Action Units (FAU), which …

Multi-objective based spatio-temporal feature representation learning robust to expression intensity variations for facial expression recognition

DH Kim, WJ Baddar, J Jang… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Facial expression recognition (FER) is increasingly gaining importance in various emerging
affective computing applications. In practice, achieving accurate FER is challenging due to …

Static facial expression analysis in tough conditions: Data, evaluation protocol and benchmark

A Dhall, R Goecke, S Lucey… - 2011 IEEE international …, 2011 - ieeexplore.ieee.org
Quality data recorded in varied realistic environments is vital for effective human face related
research. Currently available datasets for human facial expression analysis have been …

Learning multiscale active facial patches for expression analysis

L Zhong, Q Liu, P Yang, J Huang… - IEEE transactions on …, 2014 - ieeexplore.ieee.org
In this paper, we present a new idea to analyze facial expression by exploring some
common and specific information among different expressions. Inspired by the observation …

Facial expression recognition based on local binary patterns: A comprehensive study

C Shan, S Gong, PW McOwan - Image and vision Computing, 2009 - Elsevier
Automatic facial expression analysis is an interesting and challenging problem, and impacts
important applications in many areas such as human–computer interaction and data-driven …

Jaa-net: joint facial action unit detection and face alignment via adaptive attention

Z Shao, Z Liu, J Cai, L Ma - International Journal of Computer Vision, 2021 - Springer
Facial action unit (AU) detection and face alignment are two highly correlated tasks, since
facial landmarks can provide precise AU locations to facilitate the extraction of meaningful …

Deep adaptive attention for joint facial action unit detection and face alignment

Z Shao, Z Liu, J Cai, L Ma - Proceedings of the European …, 2018 - openaccess.thecvf.com
Facial action unit (AU) detection and face alignment are two highly correlated tasks since
facial landmarks can provide precise AU locations to facilitate the extraction of meaningful …

Semantic relationships guided representation learning for facial action unit recognition

G Li, X Zhu, Y Zeng, Q Wang, L Lin - … of the AAAI conference on artificial …, 2019 - aaai.org
Facial action unit (AU) recognition is a crucial task for facial expressions analysis and has
attracted extensive attention in the field of artificial intelligence and computer vision. Existing …