A systematic review on affective computing: Emotion models, databases, and recent advances

Y Wang, W Song, W Tao, A Liotta, D Yang, X Li, S Gao… - Information …, 2022 - Elsevier
Affective computing conjoins the research topics of emotion recognition and sentiment
analysis, and can be realized with unimodal or multimodal data, consisting primarily of …

A brief review of facial emotion recognition based on visual information

BC Ko - sensors, 2018 - mdpi.com
Facial emotion recognition (FER) is an important topic in the fields of computer vision and
artificial intelligence owing to its significant academic and commercial potential. Although …

Avec 2016: Depression, mood, and emotion recognition workshop and challenge

M Valstar, J Gratch, B Schuller, F Ringeval… - Proceedings of the 6th …, 2016 - dl.acm.org
The Audio/Visual Emotion Challenge and Workshop (AVEC 2016)" Depression, Mood and
Emotion" will be the sixth competition event aimed at comparison of multimedia processing …

Automatic analysis of facial actions: A survey

B Martinez, MF Valstar, B Jiang… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
As one of the most comprehensive and objective ways to describe facial expressions, the
Facial Action Coding System (FACS) has recently received significant attention. Over the …

Compound facial expressions of emotion

S Du, Y Tao, AM Martinez - Proceedings of the national …, 2014 - National Acad Sciences
Understanding the different categories of facial expressions of emotion regularly used by us
is essential to gain insights into human cognition and affect as well as for the design of …

Avec 2014: 3d dimensional affect and depression recognition challenge

M Valstar, B Schuller, K Smith, T Almaev… - Proceedings of the 4th …, 2014 - dl.acm.org
Mood disorders are inherently related to emotion. In particular, the behaviour of people
suffering from mood disorders such as unipolar depression shows a strong temporal …

Avec 2013: the continuous audio/visual emotion and depression recognition challenge

M Valstar, B Schuller, K Smith, F Eyben… - Proceedings of the 3rd …, 2013 - dl.acm.org
Mood disorders are inherently related to emotion. In particular, the behaviour of people
suffering from mood disorders such as unipolar depression shows a strong temporal …

Deploying machine learning techniques for human emotion detection

AI Siam, NF Soliman, AD Algarni… - Computational …, 2022 - Wiley Online Library
Emotion recognition is one of the trending research fields. It is involved in several
applications. Its most interesting applications include robotic vision and interactive robotic …

Fine-grained image analysis for facial expression recognition using deep convolutional neural networks with bilinear pooling

S Hossain, S Umer, RK Rout, M Tanveer - Applied Soft Computing, 2023 - Elsevier
Facial expressions reflect people's feelings, emotions, and motives, attracting researchers to
develop a self-acting automatic facial expression recognition system. With the advances of …

Augmented reality-based video-modeling storybook of nonverbal facial cues for children with autism spectrum disorder to improve their perceptions and judgments of …

CH Chen, IJ Lee, LY Lin - Computers in Human Behavior, 2016 - Elsevier
Autism spectrum disorders (ASD) are characterized by a reduced ability to understand the
emotions of other people. Increasing evidence indicates that children with ASD might not …