Emotion recognition for affective human digital twin by means of virtual reality enabling technologies

K Amara, O Kerdjidj, N Ramzan - IEEE Access, 2023 - ieeexplore.ieee.org
Digital Twin is the seamless data integration between a physical and virtual machine in
either direction. Emotion recognition in healthcare is becoming increasingly important due to …

[图书][B] Proceedings of International Conference on Paradigms of Communication, Computing and Data Analytics: PCCDA 2023

A Yadav, SJ Nanda, MH Lim - 2023 - Springer
This book is a collection of selected high-quality research papers presented at International
Conference on Paradigms of Communication, Computing and Data Analytics (PCCDA …

Systematic Literature Review: The Influence and Effectiveness of Deep Learning in Image Processing for Emotion Recognition

IPRE Wicaksana, GR Davinsi, MA Afriyanto, A Wibowo… - 2024 - researchsquare.com
In the current digital era, image processing and Emotion Recognition are important topics in
the field of artificial intelligence. Deep learning, as one of the most widely used AI …

Comparative Analysis of CNN and SVM Models for Facial Emotion Recognition

A Suryavanshi, R Sharma, M Kumar… - 2024 International …, 2024 - ieeexplore.ieee.org
The proposed study investigates the application of Convolutional Neural Networks (CNN)
and Support Vector Machines (SVM) in the recognition and classification of five basic human …

A Review of Different Approaches for Emotion Detection Based on Facial Expression Recognition

S Mittal, K Parashar, P Belwal, T Gahlaut - International Conference on …, 2023 - Springer
Emotions have a vital part in defining human mental health and social behaviour. Emotions
are the most important form of non-verbal communication. Emotion detection has many …

Features Manipulation of Classification and Recognition of Images Under Artificial Intelligence Using CNN Algorithm and LSTM

J Priyadharshini, E Padma… - Handbook of Research on …, 2023 - igi-global.com
The established model provides appropriate picture pixel gaining knowledge in image
detection. Additionally, it also affords an alternative solution for item tracking and predicting …