Results 21 to 30 of about 385,180 (273)
DynGeoNet: Fusion Network for Micro-expression Spotting [PDF]
Proceedings of the 2021 International Conference on Multimodal Interaction, 2021 Micro-expressions (MEs) are brief and involuntary facial expressions when people hide their true feelings or conceal their emotions. Based on psychology research, MEs play an important role in understanding genuine emotions, which leads to many potential applications.
Tran, T.-K. (Thuong-Khanh) +2 more
openaire +2 more sources
Htnet for Micro-Expression Recognition
Neurocomputing, 2023 35 pages, 7 ...
Zhifeng Wang +3 more
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A Survey of Facial Micro-Expression Analysis Methods [PDF]
Jisuanji gongcheng, 2023 Micro-expression analysis has been widely used in the medical industry, public safety, business disputes and other fields and has attracted much attention.Manual analysis is challenging because the intensity of micro-expressions is relatively modest and ...
YU Ming, ZHONG Yuanxiang, WANG Yan
doaj +1 more source
Oxytocin Impairs the Recognition of Micro-Expressions of Surprise and Disgust
Frontiers in Psychology, 2022 As fleeting facial expressions which reveal the emotion that a person tries to conceal, micro-expressions have great application potentials for fields like security, national defense and medical treatment.
Qi Wu +6 more
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Micro-expression spotting: A new benchmark
Neurocomputing, 2021 Micro-expressions (MEs) are brief and involuntary facial expressions that occur when people are trying to hide their true feelings or conceal their emotions. Based on psychology research, MEs play an important role in understanding genuine emotions, which leads to many potential applications.
Tran, T.-K. (Thuong-Khanh) +4 more
openaire +3 more sources
EEG-Based Micro-Expression Recognition: Flexible Brain Network Reconfiguration Supporting Micro-Expressions Under Positive Emotion. [PDF]
Psychol Res Behav ManagMicro-expression recognition is valuable in clinical, security, judicial, economic, educational, and human-computer interaction fields. Electroencephalography (EEG)-based micro-expression recognition has gained attention for its objectivity and resistance to interference, unlike image-based methods.
Chen J, Zhao X, Xiong Z, Liu G.
europepmc +4 more sources
Affection of facial artifacts caused by micro-expressions on electroencephalography signals
Frontiers in Neuroscience, 2022 Macro-expressions are widely used in emotion recognition based on electroencephalography (EEG) because of their use as an intuitive external expression.
Xiaomei Zeng +23 more
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Cross-Database Micro-Expression Recognition: A Benchmark [PDF]
IEEE Transactions on Knowledge and Data Engineering, 2019 Cross-database micro-expression recognition (CDMER) is one of recently emerging and interesting problem in micro-expression analysis. CDMER is more challenging than the conventional micro-expression recognition (MER), because the training and testing samples in CDMER come from different micro-expression databases, resulting in the inconsistency of the ...
Tong Zhang +7 more
openaire +3 more sources
Frontiers in Psychology, 2021 The 2016 United States presidential election was exceptional for many reasons; most notably the extreme division between supporters of Donald Trump and Hillary Clinton.
Patrick A. Stewart, Elena Svetieva
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Review of micro-expression spotting and recognition in video sequences
Virtual Reality & Intelligent Hardware, 2021 Facial micro-expressions are short and imperceptible expressions that involuntarily reveal the true emotions that a person may be attempting to suppress, hide, disguise, or conceal.
Hang Pan +5 more
doaj +1 more source