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Effortless facial expression recognition without motor simulation [PDF]

open access: yesScientific Reports
Efficient recognition of facial expressions is often assumed to require covert and unconscious imitation of the observed facial movements – a “motor simulation”.
Sarah Carneiro Pereira   +1 more
doaj   +2 more sources

Res-RBG Facial Expression Recognition in Image Sequences Based on Dual Neural Networks [PDF]

open access: yesSensors
Facial expressions involve dynamic changes, and facial expression recognition based on static images struggles to capture the temporal information inherent in these dynamic changes.
Xiangwei Mou   +4 more
doaj   +2 more sources

Facial expression recognition via transfer learning [PDF]

open access: yesEAI 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
doaj   +1 more source

Facial Emotion Recognition Using Convolutional Brain Emotional Learning (CBEL) Model [PDF]

open access: yesComputational Engineering and Physical Modeling, 2022
Facial expression is considered one of the most important ways of communication and human response to its environment. Recognition of facial emotional expression is used in many research fields, such as psychological studies, robotics, identity ...
Sara Motamed   +2 more
doaj   +1 more source

An Expression Recognition Algorithm Based on Term Frequency-Inverse Document Frequency and Hybrid Loss [PDF]

open access: yesJisuanji gongcheng, 2023
Facial expressions can express people's mental activities and state of mind naturally and efficiently.They profoundly affect people's communication process.In many intelligent applications, facial expression recognition is an important basis for ...
LAN Zhengjie, WANG Lie, NIE Xiong
doaj   +1 more source

Face expression image detection and recognition based on big data technology

open access: yesInternational Journal of Intelligent Networks, 2023
This research addresses the deficiencies in current dynamic sequence facial expression recognition methods, which suffer from limited accuracy and effectiveness.
Shuji Deng
doaj   +1 more source

Hybrid Approach for Facial Expression Recognition Using Convolutional Neural Networks and SVM

open access: yesApplied 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
doaj   +1 more source

RRA-InceptionV3 Combined Robust Sparse Representation Method for Expression Recognition [PDF]

open access: yesJisuanji gongcheng, 2023
Facial expression recognition technology is an important subject in the field of computer vision.However, in real application, partial occlusion can lead to a sharp drop in the accuracy of facial expression recognition.In view of the low accuracy of ...
Hong XIE, Wengang JIANG
doaj   +1 more source

Facial Expression Recognition [PDF]

open access: yesProceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning), 2019
The purpose of this project was to analyze which image pre-processing technique was most beneficial in improving the performance of Facial Expression Recognition through Deep Learning and High-Performance Computing. Contrary to our expectations, the results obtained in this work showed that deep learning does not significantly benefit from various ...
Francisco Reveriano   +2 more
openaire   +1 more source

Person-Independent Facial Expression Recognition Based on Improved Local Binary Pattern and Higher-Order Singular Value Decomposition

open access: yesIEEE Access, 2020
The recognition rate of person-independent facial expression is generally not high, which limits the practical application of facial expression recognition.
Ying He, Shuxin Chen
doaj   +1 more source

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