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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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IEEE Access, 2023 Aiming at the problem of insufficient feature extraction and low recognition rate of traditional convolutional neural network in facial expression recognition, a multi-layer feature recognition algorithm based on three-channel convolutional neural ...
Ying He +3 more
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A facial expression recognition method based on face texture feature fusion
Journal of Hebei University of Science and Technology, 2021 Aiming at facial expression recognition, the recognition rate is not high due to noise and occlusion. A hybrid approach of facial expression has been presented by combining local and global features.
Tingting GAO, Hang LI, Shoulin YIN
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Efficient recognition of facial expressions does not require motor simulation
eLife, 2020 What mechanisms underlie facial expression recognition? A popular hypothesis holds that efficient facial expression recognition cannot be achieved by visual analysis alone but additionally requires a mechanism of motor simulation — an unconscious, covert
Gilles Vannuscorps +2 more
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IEEE Access, 2023 Facial expression analysis aims to understand human emotions by analyzing visual face information and is a popular topic in the computer vision community. In educational research, the analyzed students’ affect states can be used by faculty members
Bei Fang +3 more
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Feature Extraction Techniques for Facial Expression Recognition (FER)
Al-Iraqia Journal for Scientific Engineering Research, 2023 Facial expression recognition (FER) is a significant area of study in computer vision and affective computing. In numerous applications, such as human-computer interaction, emotion detection, and behavior analysis.
Hadeel Mohammed +2 more
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Multi-Modal CNN Features Fusion for Emotion Recognition: A Modified Xception Model
IEEE Access, 2023 Facial expression recognition (FER) is advancing human-computer interaction, especially, today, where facial masks are commonly worn due to the COVID-19 pandemic.
H. M. Shahzad +4 more
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Facial Expression Recognition Based on Anti-Aliasing Residual Attention Network [PDF]
Jisuanji gongcheng, 2023 As it is difficult to extract effective features in facial expression recognition and the high similarity between categories and easy confusion lead to low accuracy of facial expression recognition, a facial expression recognition method based on anti ...
Fangyu FENG, Xiaoshu LUO, Zhiming MENG, Guangyu WANG
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An expression recognition algorithm based on convolution neural network and RGB-D Images
MATEC Web of Conferences, 2018 Aiming at the problem of recognition effect is not stable when 2D facial expression recognition in the complex illumination and posture changes. A facial expression recognition algorithm based on RGB-D dynamic sequence analysis is proposed. The algorithm
binghua HE +5 more
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Miners' facial expression recognition method based on convolutional neural network
Gong-kuang zidonghua, 2018 In view of problems of low recognition rate and complex algorithm of traditional miner's facial expression recognition methods, based on convolutional neural network and combining with nonlinear mapping function in support vector machine algorithm, a ...
DU Yun, ZHANG Lulu, PAN Tao
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