Results 31 to 40 of about 6,759,481 (296)
Frontiers in Neuroscience, 2022 Micro-expressions can reflect an individual’s subjective emotions and true mental state and are widely used in the fields of mental health, justice, law enforcement, intelligence, and security.
Xingcong Zhao +12 more
doaj +1 more source
Micro-attention for micro-expression recognition [PDF]
Neurocomputing, 2020 Micro-expression, for its high objectivity in emotion detection, has emerged to be a promising modality in affective computing. Recently, deep learning methods have been successfully introduced into the micro-expression recognition area. Whilst the higher recognition accuracy achieved, substantial challenges in micro-expression recognition remain.
Chongyang Wang +3 more
openaire +3 more sources
Facial Micro-Expressions Grand Challenge 2018 Summary [PDF]
2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018), 2018 This paper summarises the Facial Micro-Expression Grand Challenge (MEGC 2018) held in conjunction with the 13th IEEE Conference on Automatic Face and Gesture Recognition (FG) 2018. In this workshop, we aim to stimulate new ideas and techniques for facial micro-expression analysis by proposing a new cross-database challenge.
Moi Hoon Yap +3 more
semanticscholar +3 more sources
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 Human Neuroscience, 2022 Micro-expressions are fleeting and subtle emotional expressions. As they are spontaneous and uncontrollable by one’s mind, micro-expressions are considered an indicator of genuine emotions.
Yue Ge +16 more
doaj +1 more source
Spatiotemporal Recurrent Convolutional Networks for Recognizing Spontaneous Micro-Expressions [PDF]
IEEE transactions on multimedia, 2019 Recently, the recognition task of spontaneous facial micro-expressions has attracted much attention with its various real-world applications. Plenty of handcrafted or learned features have been employed for a variety of classifiers and achieved promising
Zhaoqiang Xia +4 more
semanticscholar +1 more source
Public mental health through social media in the post COVID-19 era
Frontiers in Public Health, 2023 Social media is a powerful communication tool and a reflection of our digital environment. Social media acted as an augmenter and influencer during and after COVID-19.
Deepika Sharma +5 more
doaj +1 more source
Sparse MDMO: learning a discriminative feature for micro-expression recognition [PDF]
, 2021 Micro-expressions are the rapid movements of facial muscles that can be used to reveal concealed emotions. Recognizing them from video clips has a wide range of applications and receives increasing attention recently.
Lai, Yukun, Li, Bing-Jun, Liu, Yong-Jin
core +2 more sources
LARNet: Real-Time Detection of Facial Micro Expression Using Lossless Attention Residual Network
Sensors, 2021 Facial micro expressions are brief, spontaneous, and crucial emotions deep inside the mind, reflecting the actual thoughts for that moment. Humans can cover their emotions on a large scale, but their actual intentions and emotions can be extracted at a ...
Mohammad Farukh Hashmi +6 more
doaj +1 more source
Micro-expressions as a form of interpersonal communication
Fides et Ratio, 2020 : Many different definitions are assigned to interpersonal communication. Regardless of their multiplicity interpersonal communication can be divided into verbal and non-verbal.
Karolina Kołażyk
doaj +1 more source