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MMATrans: Muscle Movement Aware Representation Learning for Facial Expression Recognition via Transformers

IEEE Transactions on Industrial Informatics
How to automatically recognize facial expression has caused concerns in industrial human–robot interaction. However, facial expression recognition (FER) is susceptible to problems, such as occlusion, arbitrary orientations, and illumination.
Zhaoli Zhang, Junyan Zhu, You Fu Li
exaly   +2 more sources

Facial expression recognition based on Local Binary Patterns: A comprehensive study

Image and Vision Computing, 2009
Shaogang Gong   +2 more
exaly   +2 more sources

Facial expression recognition with Convolutional Neural Networks: Coping with few data and the training sample order

Pattern Recognition, 2017
Thiago Oliveira-Santos   +2 more
exaly   +2 more sources

Classifying Emotions and Engagement in Online Learning Based on a Single Facial Expression Recognition Neural Network

IEEE Transactions on Affective Computing, 2022
In this article, behaviour of students in the e-learning environment is analyzed. The novel pipeline is proposed based on video facial processing. At first, face detection, tracking and clustering techniques are applied to extract the sequences of faces ...
A. Savchenko   +2 more
semanticscholar   +1 more source

Former-DFER: Dynamic Facial Expression Recognition Transformer

ACM Multimedia, 2021
This paper proposes a dynamic facial expression recognition transformer (Former-DFER) for the in-the-wild scenario. Specifically, the proposed Former-DFER mainly consists of a convolutional spatial transformer (CS-Former) and a temporal transformer (T ...
Zengqun Zhao, Qingshan Liu
semanticscholar   +1 more source

Facial Expression Recognition Using Residual Masking Network

International Conference on Pattern Recognition, 2021
Automatic facial expression recognition (FER) has gained much attention due to its applications in human-computer interaction. Among the approaches to improve FER tasks, this paper focuses on deep architecture with the attention mechanism.
Luan Pham, T. H. Vu, T. A. Tran
semanticscholar   +1 more source

Facial expression recognition based on deep learning

Comput. Methods Programs Biomed., 2022
BACKGROUND AND OBJECTIVE Facial expression recognition technology will play an increasingly important role in our daily life. Autonomous driving, virtual reality and all kinds of robots integrated into our life depend on the development of facial ...
Huilin Ge   +4 more
semanticscholar   +1 more source

Impact of Deep Learning Approaches on Facial Expression Recognition in Healthcare Industries

IEEE Transactions on Industrial Informatics, 2022
A facial expression recognition system that can provide quick assistance to the healthcare system and exceptional services to the patients is proposed in this article. The implementation of this work is divided into three components.
Carmen Bisogni   +4 more
semanticscholar   +1 more source

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