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A systematic review on affective computing: Emotion models, databases, and recent advances
Affective computing conjoins the research topics of emotion recognition and sentiment
analysis, and can be realized with unimodal or multimodal data, consisting primarily of …
analysis, and can be realized with unimodal or multimodal data, consisting primarily of …
Classifying emotions and engagement in online learning based on a single facial expression recognition neural network
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 …
pipeline is proposed based on video facial processing. At first, face detection, tracking and …
A comprehensive survey on affective computing; challenges, trends, applications, and future directions
Affective computing, as its name implies, focuses on the recognition of human emotions,
sentiments, and feelings. This interdisciplinary field encompasses diverse areas such as …
sentiments, and feelings. This interdisciplinary field encompasses diverse areas such as …
Facial expression recognition with trade-offs between data augmentation and deep learning features
A novel facial expression recognition system has been proposed in this paper. The objective
of this paper is to recognize the types of expressions in the human face region. The …
of this paper is to recognize the types of expressions in the human face region. The …
Recognizing facial expressions based on pyramid multi-head grid and spatial attention network
J Zhang, W Wang, X Li, Y Han - Computer Vision and Image …, 2024 - Elsevier
Abstract Facial Expression Recognition (FER) is garnered considerable interest in the field
of computer vision. Being a challenging task, it faces some key problems such as inter-class …
of computer vision. Being a challenging task, it faces some key problems such as inter-class …
An optimized facial recognition model for identifying criminal activities using deep learning strategy
The most important research field in the current period is facial recognition and detection.
Furthermore, facial expression recognition applications are essential in various research …
Furthermore, facial expression recognition applications are essential in various research …
Time efficient real time facial expression recognition with CNN and transfer learning
This study aims to design a real-time application to detect several human beings' universal
emotional levels simultaneously. The intra-class and inter-class variations present in images …
emotional levels simultaneously. The intra-class and inter-class variations present in images …
E-FCNN for tiny facial expression recognition
J Shao, Q Cheng - Applied Intelligence, 2021 - Springer
As a hot issue in recent years, facial expression recognition (FER) has been widely applied
in many fields, but it still faces great challenges in tiny facial expression recognition …
in many fields, but it still faces great challenges in tiny facial expression recognition …
SG-DSN: A semantic graph-based dual-stream network for facial expression recognition
Facial expression recognition (FER) is a crucial task for human emotion analysis and has
attracted wide interest in the field of computer vision and affective computing. General …
attracted wide interest in the field of computer vision and affective computing. General …
Person-independent facial expression recognition based on the fusion of HOG descriptor and cuttlefish algorithm
This paper proposes an efficient approach for person-independent facial expression
recognition based on the fusion of Histogram of Oriented Gradients (HOG) descriptor and …
recognition based on the fusion of Histogram of Oriented Gradients (HOG) descriptor and …