[HTML][HTML] A survey on human face expression recognition techniques

IM Revina, WRS Emmanuel - Journal of King Saud University-Computer …, 2021 - Elsevier
Abstract Human Face expression Recognition is one of the most powerful and challenging
tasks in social communication. Generally, face expressions are natural and direct means for …

A survey of ai-based facial emotion recognition: Features, ml & dl techniques, age-wise datasets and future directions

C Dalvi, M Rathod, S Patil, S Gite, K Kotecha - Ieee Access, 2021 - ieeexplore.ieee.org
Facial expressions are mirrors of human thoughts and feelings. It provides a wealth of social
cues to the viewer, including the focus of attention, intention, motivation, and emotion. It is …

Smart classroom monitoring using novel real-time facial expression recognition system

S Fakhar, J Baber, SU Bazai, S Marjan, M Jasinski… - Applied Sciences, 2022 - mdpi.com
Featured Application The proposed automatic emotion recognition system has been
deployed in the classroom environment (education) but it can be used anywhere to monitor …

Shape and texture aware facial expression recognition using spatial pyramid Zernike moments and law's textures feature set

VGV Mahesh, C Chen, V Rajangam, ANJ Raj… - IEEE …, 2021 - ieeexplore.ieee.org
Facial expression recognition (FER) requires better descriptors to represent the face
patterns as the facial region changes due to the movement of the face muscles during an …

Facial expression recognition using three-stage support vector machines

I Dagher, E Dahdah, M Al Shakik - Visual Computing for Industry …, 2019 - Springer
Herein, a three-stage support vector machine (SVM) for facial expression recognition is
proposed. The first stage comprises 21 SVMs, which are all the binary combinations of …

Smart Affect Recognition System for Real-Time Biometric Surveillance Using Hybrid Features and Multilayered Binary Structured Support Vector Machine

MA EA - The Computer Journal, 2022 - academic.oup.com
Human affect recognition (HAR) using images of facial expression and electrocardiogram
(ECG) signal plays an important role in predicting human intention. This system improves …

Can edges help convolution neural networks in emotion recognition?

A Bhandari, NR Pal - Neurocomputing, 2021 - Elsevier
Facial emotion recognition has gained importance for its applications in diverse areas.
Facial expressions of a subject, when experiencing the same emotion, have wider …

Facial emotion recognition using min-max similarity classifier

O Krestinskaya, AP James - 2017 International Conference on …, 2017 - ieeexplore.ieee.org
Recognition of human emotions from the imaging templates is useful in a wide variety of
human-computer interaction and intelligent systems applications. However, the automatic …

Self-organizing mapping based swarm intelligence for secondary and tertiary proteins classification

MS Kamal, MG Sarowar, N Dey, AS Ashour… - International Journal of …, 2019 - Springer
Proteins have a significant role in animals and human health. Interactions among proteins
are complex and large. Proteins separations are challenging process in molecular biology …

A novel facial expression recognition system using BMCSA based adaptive neuro-fuzzy inference system

R Banerjee, S De, S Dey - International Journal of Uncertainty …, 2021 - World Scientific
In Emotion Recognition (ER), automatic Facial Expression Recognitions (FER) is actually a
dynamically emerging research. Recently, the focus is given to two main issues (ie) …