Facial expression recognition in videos: An CNN-LSTM based model for video classification

M Abdullah, M Ahmad, D Han - 2020 International conference …, 2020 - ieeexplore.ieee.org
Facial Expressions are an integral part of human communication. Therefore, correct
classification of facial expression in image and video data has been an important quest for …

[PDF][PDF] Enhanced real-time facial expression recognition using deep learning

HBU Haq, W Akram, MN Irshad… - Acadlore Trans. Mach …, 2024 - library.acadlore.com
In the realm of facial expression recognition (FER), the identification and classification of
seven universal emotional states, surprise, disgust, fear, happiness, neutrality, anger, and …

Emorec: a new approach for detecting and improving the emotional state of learners in an e-learning environment

MN Kouahla, A Boughida, I Chebata… - Interactive Learning …, 2023 - Taylor & Francis
In e-learning environments, several activities are offered to learners, including learning and
assessment activities. During these activities, the learner may encounter difficulties, such as …

Facial recognition system using mixed transform and multilayer sigmoid neural network classifier

GM Sapijaszko, WB Mikhael - Circuits, Systems, and Signal Processing, 2020 - Springer
Facial recognition systems are critical components in numerous applications. They are used,
for example, to prevent retail crime, unlock phones, find missing persons, protect law …

Enhancing Facial Feature Detection: Hybrid Active Shape and Active Appearance Model (HASAAM)

M Iqtait, J Ababneh, M Rasmi, A Abu-Jassar… - IEEE …, 2024 - ieeexplore.ieee.org
Face landmarking is a primary goal of many projects that lead to face-preparing activities,
like biometric recognition and mental state comprehension. Despite the inherent diversity of …

Increasing accuracy performance through optimal feature extraction algorithms

G Sapijaszko - 2020 - stars.library.ucf.edu
This research developed models and techniques to improve the three key modules of
popular recognition systems: preprocessing, feature extraction, and classification …

Enhanced constrained local models for gender prediction

A Alsarayreh, FS Mohamad - Bulletin of Electrical Engineering and …, 2022 - beei.org
Face land-marking, defined as the detection and positioning of distinctive characteristics, is
a crucial goal shared by various organizations, ranging from biometric recognition to mental …

[PDF][PDF] Enhanced constrained local models (CLM) for facial feature detection

A Alsarayreh, FS Mohamad - Int. J. Eng. Res. Technol., 2020 - academia.edu
Face land-marking, defined as detecting and locating certain distinctive points on the face, is
a key goal between a big amounts of ventures that result in face-preparing activities ranging …

Une approche métaheuristique pour l'optimisation des paramètres des filtres Gabor dans le contexte de la détection des expressions faciales.

H KRIBES - 2021 - dspace.univ-guelma.dz
Au cours de la dernière décennie, des efforts importants ont été déployés pour développer
des méthodes efficaces pour la reconnaissance des expressions faciales. Plusieurs entre …

automatisation de la sélection des paramètres optimisés de filtre de Gabor pour la détection des expressions faciales.

A BELFARHI - 2020 - dspace.univ-guelma.dz
Pour l'être humain, une expression faciale présente un mouvement ou un geste du visage.
Pour déterminer ces expressions faciales il existe un mécanisme général, il se compose de …