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Micro-Expression Recognition using 3D - CNN
Fusion: Practice and Applications, 2020Micro-expression comes under nonverbal communication, and for a matter of fact, it appears for minute fractions of a second. One cannot control micro-expression as it tells about our actual state emotionally, even if we try to hide or conceal our genuine emotions.
Vishal Dubey +2 more
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Emotion Recognition using Micro-expressions
2019 IEEE Bombay Section Signature Conference (IBSSC), 2019Micro-expressions (MEs) are involuntary, subtle expressions which can reveal concealed emotions that people don’t want to show. However, analyzing such rapid facial micro-expressions is very challenging due to their short duration and low intensity. Here, we are emphasizing on macro & micro-expressions recognition on diverse Indian faces and emotions ...
Dharni Shah +3 more
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SHCFNet on Micro-expression Recognition System
2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), 2020Micro expression is a facial feature that can reflect the most real emotional state hidden in the human heart. This is a very short process and difficult to capture accurately. Based convolutional network, a new network architecture (SHCFNet) is proposed to extract the spatial-temporal feature of peak frames, the optical flow between onset and apex ...
Jie Huang, XinRui Zhao, LIMing Zheng
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Effectiveness feature for micro-expression recognition
2021 IEEE 22nd International Conference on Information Reuse and Integration for Data Science (IRI), 2021When an emotional state is involuntarily and spontaneously delivered with low intensity and short duration, micro expression (ME) occurs. Developing from psychological perspectives to computer vision standpoints, ME has obtained huge advancements and breakthroughs.
Trang Thanh Quynh Le, Manjeet Rege
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CapsuleNet for Micro-Expression Recognition
2019 14th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2019), 2019Facial micro-expression recognition has attracted researchers in terms of its objectiveness to reveal the true emotion of a person. However, the limited number of publicly available datasets on micro-expression and its low intensity of facial movements have posed a great challenge to training robust data-driven models for recognition task.
Nguyen Van Quang +2 more
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Investigating LSTM for Micro-Expression Recognition
Companion Publication of the 2020 International Conference on Multimodal Interaction, 2020This study investigates the utility of Long Short-Term Memory (LSTM) networks for modelling spatial-temporal patterns for micro-expression recognition (MER). Micro-expressions are involuntary, short facial expressions, often of low intensity. RNNs have attracted a lot of attention in recent years for modelling temporal sequences.
Mengjiong Bai, Roland Goecke
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A survey: facial micro-expression recognition
Multimedia Tools and Applications, 2017Facial expression recognition plays a crucial role in a wide range of applications of psychotherapy, security systems, marketing, commerce and much more. Detecting a macro-expression, which is a direct representation of an ‘emotion,’ is a relatively straight-forward task.
Madhumita Takalkar +3 more
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Motion descriptors for micro-expression recognition
Signal Processing: Image Communication, 2018Abstract Micro-expression analysis is an interesting and challenging task in computer vision. It has inspired a series of possible applications in many areas such as police–criminal interrogation and important business negotiation. One of the most crucial step in a micro-expression recognition system is the extraction of well discriminating features.
Lu, H., Kpalma, K., Ronsin, J.
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Micro-expression recognition using advanced genetic algorithm
Signal Processing: Image Communication, 2021Abstract In recent years, numerous facial expression recognition related applications had been commercialized in the market. Many of them achieved promising and reliable performance results in real-world applications. In contrast, the automated micro-expression recognition system relevant research analysis is still greatly lacking. This is because of
Kun-Hong Liu +4 more
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Fuzzy qualitative approach for micro-expression recognition
2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2017Micro-expression recognition has received increasing attention in the field of computer vision nowadays. Many state-of-the-art approaches have been reported but it can be seen that most of the results are capped at a certain level of accuracy. This is due to the ambiguity that abounded during the extraction of extremely short period of facial movements.
Chern Hong Lim, Kam Meng Goh
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