An overview of facial micro-expression analysis: Data, methodology and challenge

HX Xie, L Lo, HH Shuai… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Facial micro-expressions indicate brief and subtle facial movements that appear during
emotional communication. In comparison to macro-expressions, micro-expressions are …

Development and validation of a multiclass method for the determination of veterinary drug residues in honey

O Khaled, L Ryad, M Nagi, F Eissa - International Journal of …, 2024 - Taylor & Francis
This study developed and validated an analytical method for simultaneous identification and
quantification of 41 veterinary drugs in honey using liquid liquid extraction (LLE) and liquid …

[HTML][HTML] An incremental cross-modal transfer learning method for gesture interaction

J Zhong, J Li, A Lotfi, P Liang, C Yang - Robotics and Autonomous Systems, 2022 - Elsevier
Gesture can be used as an important way for human–robot interaction, since it is able to give
accurate and intuitive instructions to the robots. Various sensors can be used to capture …

MASS: a multisource domain adaptation network for Cross-Subject touch gesture recognition

YK Li, QH Meng, YX Wang, TH Yang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Touch gesture recognition (TGR) plays a pivotal role in many applications, such as socially
assistive robots and embodied telecommunication. However, one obstacle to practicality of …

PERSIST: Improving micro-expression spotting using better feature encodings and multi-scale Gaussian TCN

P Gupta - Applied Intelligence, 2023 - Springer
Micro-expression (ME) is required in real-world applications for understanding true human
feeling. The preliminary step of ME analysis, ME spotting, is highly challenging for human …

[PDF][PDF] Negative emotions sensitive humanoid robot with attention-enhanced facial expression recognition network

R Ni, X Liu, Y Chen, X Zhou, H Cai… - Intelligent Automation & …, 2022 - fsktm.um.edu.my
Lonely older adults and persons restricted in movements are apt to cause negative
emotions, which is harmful to their mental health. A humanoid robot with audiovisual …

[PDF][PDF] Micro-Expression Recognition Based on Spatio-Temporal Feature Extraction of Key Regions.

W Zhu, Y Li, Q Liu, Z Zeng - Computers, Materials & Continua, 2023 - cdn.techscience.cn
Aiming at the problems of short duration, low intensity, and difficult detection of micro-
expressions (MEs), the global and local features of ME video frames are extracted by …

[PDF][PDF] Research on Facial Expression Capture Based on Two-Stage Neural Network.

Z Wang, S Cui, X Wang, JF Tian - Computers, Materials & …, 2022 - cdn.techscience.cn
To generate realistic three-dimensional animation of virtual character, capturing real facial
expression is the primary task. Due to diverse facial expressions and complex background …

Facial micro-expression recognition using double-stream 3D convolutional neural network with domain adaptation

Z Li, Y Zhang, H Xing, KL Chan - Sensors, 2023 - mdpi.com
Humans show micro-expressions (MEs) under some circumstances. MEs are a display of
emotions that a human wants to conceal. The recognition of MEs has been applied in …

Quantitative Analysis of Student Emotion Based on Face Recognition Technology

J Hongjian, S Jing - International Conference on Educational Technology …, 2022 - Springer
In order to solve the problem that the classroom learning state is difficult to quantify and
evaluate, a quantitative analysis method of student emotion based on face recognition …