[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 …
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 …
expression recognition has become an indispensable part. Recently, deep neural networks …
Facial expression recognition of instructor using deep features and extreme learning machine
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 …
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 …
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 …
interaction. The clues for understanding facial expressions lie not in global facial …
LQGDNet: A local quaternion and global deep network for facial depression recognition
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 …
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
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 …
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 …
Heart abnormalities detected by electrocardiogram (ECG) might provide diagnostic …
LBVCNN: Local binary volume convolutional neural network for facial expression recognition from image sequences
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 …
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 …
forms and is one of the most frequent non-verbal routes in which a person transfers his inner …