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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
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, 2009Shaogang Gong +2 more
exaly +2 more sources
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
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
Facial expression recognition via learning deep sparse autoencoders
Neurocomputing, 2018Yurong Li, Nianyin Zeng, Weibo Liu
exaly +2 more sources
Former-DFER: Dynamic Facial Expression Recognition Transformer
ACM Multimedia, 2021This 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, 2021Automatic 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., 2022BACKGROUND 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, 2022A 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

