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Region Attention Networks for Pose and Occlusion Robust Facial Expression Recognition [PDF]
IEEE Transactions on Image Processing, 2019 Occlusion and pose variations, which can change facial appearance significantly, are two major obstacles for automatic Facial Expression Recognition (FER). Though automatic FER has made substantial progresses in the past few decades, occlusion-robust and
K. Wang +4 more
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Racial Identity-Aware Facial Expression Recognition Using Deep Convolutional Neural Networks
Applied Sciences, 2021 Multi-culture facial expression recognition remains challenging due to cross cultural variations in facial expressions representation, caused by facial structure variations and culture specific facial characteristics.
Muhammad Sohail +7 more
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Hybrid Approach for Facial Expression Recognition Using Convolutional Neural Networks and SVM
Applied Sciences, 2022 Facial expression recognition is very useful for effective human–computer interaction, robot interfaces, and emotion-aware smart agent systems. This paper presents a new framework for facial expression recognition by using a hybrid model: a combination ...
Jin-Chul Kim +4 more
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On-Road Driver Emotion Recognition Using Facial Expression
Applied Sciences, 2022 With the development of intelligent automotive human-machine systems, driver emotion detection and recognition has become an emerging research topic. Facial expression-based emotion recognition approaches have achieved outstanding results on laboratory ...
Huafei Xiao +7 more
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Facial Coding as a Neuromarketing Technique: An Overview [PDF]
Ovidius University Annals: Economic Sciences Series, 2021 The author’s interest for the subject of facial coding and micro expression analysis within the neuromarketing field lies into the advantages this tool has in applied neuromarketing research for identifying and understanding customer behaviour.
Denisa Adriana Dragoi
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Applied Sciences, 2023 As emotional states are diverse, simply classifying them through discrete facial expressions has its limitations. Therefore, to create a facial expression recognition system for practical applications, not only must facial expressions be classified ...
Kunyoung Lee +2 more
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Deep-Emotion: Facial Expression Recognition Using Attentional Convolutional Network [PDF]
Italian National Conference on Sensors, 2019 Facial expression recognition has been an active area of research over the past few decades, and it is still challenging due to the high intra-class variation.
Shervin Minaee, AmirAli Abdolrashidi
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IEEE Transactions on Instrumentation and Measurement, 2021 An image is worth a thousand words; hence, a face image illustrates extensive details about the specification, gender, age, and emotional states of mind.
Karnati Mohan +3 more
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Frontiers in Psychology, 2013 Using Garner’s speeded classification task existing studies demonstrated an asymmetric interference in the recognition of facial identity and facial expression. It seems that expression is hard to interfere with identity recognition.
Yamin eWang +3 more
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2D-to-3D facial expression transfer [PDF]
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Agudo Martínez, Antonio +3 more
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