[PDF][PDF] Facial expression recognition based on deep learning convolution neural network: A review

SMS Abdullah, AM Abdulazeez - Journal of Soft Computing …, 2021 - publisher.uthm.edu.my
Facial emotional processing is one of the most important activities in effective calculations,
engagement with people and computers, machine vision, video game testing, and consumer …

Facial expression recognition with LBP and ORB features

B Niu, Z Gao, B Guo - Computational Intelligence and …, 2021 - Wiley Online Library
Emotion plays an important role in communication. For human–computer interaction, facial
expression recognition has become an indispensable part. Recently, deep neural networks …

Facial expression recognition of instructor using deep features and extreme learning machine

YK Bhatti, A Jamil, N Nida, MH Yousaf… - Computational …, 2021 - Wiley Online Library
Classroom communication involves teacher's behavior and student's responses. Extensive
research has been done on the analysis of student's facial expressions, but the impact of …

Real-life dynamic facial expression recognition: a review

SM Saleem, SRM Zeebaree… - Journal of Physics …, 2021 - iopscience.iop.org
In emotion studies, critiques of the use of a static facial expression have been directed to its
resulting from poor ecological validity. We conducted a study of studies in the present work …

Facial expression recognition based on a multi-task global-local network

M Yu, H Zheng, Z Peng, J Dong, H Du - Pattern Recognition Letters, 2020 - Elsevier
Facial expression recognition plays an important role in intelligent human-computer
interaction. The clues for understanding facial expressions lie not in global facial …

LQGDNet: A local quaternion and global deep network for facial depression recognition

Y Shang, Y Pan, X Jiang, Z Shao, G Guo… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Recent visual-based depression recognition methods mostly use hand-crafted features with
information lost in color channels, or deep network features with a limited performance from …

A novel deep neural network-based emotion analysis system for automatic detection of mild cognitive impairment in the elderly

Z Fei, E Yang, L Yu, X Li, H Zhou, W Zhou - Neurocomputing, 2022 - Elsevier
A significant number of people are suffering from cognitive impairment all over the world.
Early detection of cognitive impairment is of great importance to both patients and …

Stroke prediction from electrocardiograms by deep neural network

Y **e, H Yang, X Yuan, Q He, R Zhang, Q Zhu… - Multimedia Tools and …, 2021 - Springer
The brain is an energy-consuming organ that heavily relies on the heart for energy supply.
Heart abnormalities detected by electrocardiogram (ECG) might provide diagnostic …

LBVCNN: Local binary volume convolutional neural network for facial expression recognition from image sequences

S Kumawat, M Verma, S Raman - Proceedings of the IEEE …, 2019 - openaccess.thecvf.com
Recognizing facial expressions is one of the central problems in computer vision. Temporal
image sequences have useful spatio-temporal features for recognizing expressions. In this …

Survey on facial expressions recognition: databases, features and classification schemes

MJAI Dujaili - Multimedia Tools and Applications, 2024 - Springer
The recognition of facial expression in images is one of the motional states in the observing
forms and is one of the most frequent non-verbal routes in which a person transfers his inner …