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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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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
semanticscholar +1 more source
ExGenNet: Learning to Generate Robotic Facial Expression Using Facial Expression Recognition
Frontiers in Robotics and AI, 2022 The ability of a robot to generate appropriate facial expressions is a key aspect of perceived sociability in human-robot interaction. Yet many existing approaches rely on the use of a set of fixed, preprogrammed joint configurations for expression ...
Niyati Rawal +8 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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Cascade EF-GAN: Progressive Facial Expression Editing With Local Focuses [PDF]
Computer Vision and Pattern Recognition, 2020 Recent advances in Generative Adversarial Nets (GANs) have shown remarkable improvements for facial expression editing. However, current methods are still prone to generate artifacts and blurs around expression-intensive regions, and often introduce ...
R. Wu +3 more
semanticscholar +1 more source
Artificial Neural Network Based Ensemble Approach for Multicultural Facial Expressions Analysis
IEEE Access, 2020 Facial expressions convey exhaustive information about human emotions and the most interactive way of social collaborations, despite differences in ethnicity, culture, and geography. Due to cultural differences, the variations in facial structure, facial
Ghulam Ali +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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Facial expression recognition via transfer learning [PDF]
EAI Endorsed Transactions on e-Learning, 2021 INTRODUCTION: With the development of artificial intelligence, facial expression recognition has become a hot topic. Facial expression recognition has been widely applied to every field of our life.
Bin Li
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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
doaj
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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