Micro-attention for micro-expression recognition [PDF]
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 +5 more sources
Domain Regeneration for Cross-Database Micro-Expression Recognition [PDF]
Recently, micro-expression recognition has attracted lots of researchers' attention due to its potential value in many practical applications, e.g., lie detection. In this paper, we investigate an interesting and challenging problem in micro-expression recognition, i.e., cross-database micro-expression recognition, in which the training and testing ...
Yuan Zong +5 more
openaire +5 more sources
OFF-ApexNet on micro-expression recognition system [PDF]
When a person attempts to conceal an emotion, the genuine emotion is manifest as a micro-expression. Exploration of automatic facial micro-expression recognition systems is relatively new in the computer vision domain. This is due to the difficulty in implementing optimal feature extraction methods to cope with the subtlety and brief motion ...
Y.S. Gan +4 more
openaire +5 more sources
Leveraging vision transformers and entropy-based attention for accurate micro-expression recognition [PDF]
Micro-expressions are difficult to fake and inherently truthful, making micro-expression recognition technology widely applicable across various domains.
Yibo Zhang +4 more
doaj +2 more sources
Facial micro-expression recognition based on motion magnification network and graph attention mechanism [PDF]
Micro-expression is extensively studied due to their ability to fully reflect individuals' genuine emotions. However, accurate micro-expression recognition is a challenging task due to the subtle motion of facial muscle.
Falin Wu +5 more
doaj +2 more sources
The Influence of Face Masks on Micro-Expression Recognition [PDF]
This study aimed to explore the influence of various mask attributes on the recognition of micro-expressions (happy, neutral, and fear) and facial favorability under different background emotional conditions (happy, neutral, and fear).
Yunqiu Zhang, Chuanlin Zhu
doaj +2 more sources
Cross-Dataset Facial Micro-Expression Recognition with Regularization Learning and Action Unit-Guided Data Augmentation [PDF]
With the growing development of facial micro-expression recognition technology, its practical application value has attracted increasing attention. In real-world scenarios, facial micro-expression recognition typically involves cross-dataset evaluation ...
Ju Zhou +4 more
doaj +2 more sources
Dual Temporal Scale Convolutional Neural Network for Micro-Expression Recognition [PDF]
Facial micro-expression is a brief involuntary facial movement and can reveal the genuine emotion that people try to conceal. Traditional methods of spontaneous micro-expression recognition rely excessively on sophisticated hand-crafted feature design ...
Min Peng +9 more
doaj +2 more sources
Lightweight Micro-Expression Recognition on Composite Database
The potential of leveraging micro-expression in various areas such as security, health care and education has intensified interests in this area. Unlike facial expression, micro-expression is subtle and occurs rapidly, making it imperceptible.
Nur Aishah Ab Razak, Shahnorbanun Sahran
doaj +2 more sources
Less is More: Micro-expression Recognition from Video using Apex Frame
Despite recent interest and advances in facial micro-expression research, there is still plenty room for improvement in terms of micro-expression recognition. Conventional feature extraction approaches for micro-expression video consider either the whole
Liong, Sze-Teng +3 more
core +3 more sources

