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Аналитический обзор методов распознавания эмоций по выражениям лица человека
ЕВ Рюмина, АА Карпов - Научно-технический вестник …, 2020 - cyberleninka.ru
Распознавание эмоций человека по мимике его лица является важной научно-
исследовательской проблемой, которая охватывает множество областей и дисциплин …
исследовательской проблемой, которая охватывает множество областей и дисциплин …
The landscape of facial processing applications in the context of the European AI Act and the development of trustworthy systems
This work focuses on facial processing, which refers to artificial intelligence (AI) systems that
take facial images or videos as input data and perform some AI-driven processing to obtain …
take facial images or videos as input data and perform some AI-driven processing to obtain …
Facial expression recognition using lightweight deep learning modeling
Facial expression is a type of communication and is useful in many areas of computer vision,
including intelligent visual surveillance, human-robot interaction and human behavior …
including intelligent visual surveillance, human-robot interaction and human behavior …
Analytical review of methods for emotion recognition by human face expressions
V Ryumina Elena - Journal Scientific and Technical Of Information …, 2020 - ntv.ifmo.ru
Recognition of human emotions by facial expressions is an important research problem that
covers many areas and disciplines, such as computer vision, artificial intelligence, medicine …
covers many areas and disciplines, such as computer vision, artificial intelligence, medicine …
[HTML][HTML] Facial image recognition for biometric authentication systems using a combination of geometrical feature points and low-level visual features
M Vasanthi, K Seetharaman - Journal of King Saud University-Computer …, 2022 - Elsevier
This paper proposes a method for biometric-driven facial image recognition, based on
multivariate correlation analysis, which extracts geometrical feature points and low-level …
multivariate correlation analysis, which extracts geometrical feature points and low-level …
Online learners' engagement detection via facial emotion recognition in online learning context using hybrid classification model
RBR Maddu, S Murugappan - Social Network Analysis and Mining, 2024 - Springer
Writing, reading, viewing video lectures, completing online examinations, and attending
online meetings are all activities that students participate in through the internet. While …
online meetings are all activities that students participate in through the internet. While …
Identification and analysis of photometric points on 2D facial images: A machine learning approach in orthodontics
The lack of an effective and automated facial landmark identification tool has prompted us to
design and develop a smart machine learning approach. The study aims to address two …
design and develop a smart machine learning approach. The study aims to address two …
Fused deep learning based Facial Expression Recognition of students in online learning mode
In this research work, Facial Expression Recognition (FER) is used in the analysis of facial
expressions during the online learning sessions in the prevailing pandemic situation. An …
expressions during the online learning sessions in the prevailing pandemic situation. An …
Simultaneous image reconstruction and lesion segmentation in accelerated MRI using multitasking learning
B Sui, J Lv, X Tong, Y Li, C Wang - Medical Physics, 2021 - Wiley Online Library
Purpose Magnetic resonance imaging (MRI) serves as an important medical imaging
modality for a variety of clinical applications. However, the problem of long imaging time …
modality for a variety of clinical applications. However, the problem of long imaging time …
Multimodal emotion recognition system for e-learning platform
RK Vani, P Jayashree - Education and Information Technologies, 2025 - Springer
Emotions of learners are fundamental and significant in e-learning as they encourage
learning. Machine learning models are presented in the literature to look at how emotions …
learning. Machine learning models are presented in the literature to look at how emotions …