Results 21 to 30 of about 5,950,781 (357)
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
semanticscholar +1 more source
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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Facial expression recognition via ResNet-50
International Journal of Cognitive Computing in Engineering, 2021 As one of the most important directions in the field of computer vision, facial emotion recognition plays an important role in people's daily work and life. Human emotion recognition based on facial expressions is of great significance in the application
Bin Li, Dimas Lima
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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
semanticscholar +1 more source
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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Automatic Facial Expression Recognition in Standardized and Non-standardized Emotional Expressions
Frontiers in Psychology, 2021 Emotional facial expressions can inform researchers about an individual's emotional state. Recent technological advances open up new avenues to automatic Facial Expression Recognition (FER).
Theresa Küntzler +2 more
semanticscholar +1 more source
Investigating Bias and Fairness in Facial Expression Recognition [PDF]
ECCV Workshops, 2020 Recognition of expressions of emotions and affect from facial images is a well-studied research problem in the fields of affective computing and computer vision with a large number of datasets available containing facial images and corresponding ...
Tian Xu +3 more
semanticscholar +1 more source
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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