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Multimodal Emotion Detection for Education and Work Environment by Using Improved Artificial Intelligence Machine Vision System Cover

Multimodal Emotion Detection for Education and Work Environment by Using Improved Artificial Intelligence Machine Vision System

Open Access
|Jun 2026

Authors

Wan Mohd Bukhari Wan Daud

bukhari@utem.edu.my

Faculty of Artificial Intelligence & CyberSecurity at Universiti Teknikal, Malaysia Melaka, Durian Tinggal, Malaysia

Adnan Kiral

adnan.kiral@erdogan.edu.tr

Assistant Professor in the Department of Civil Engineering at Recep Tayyip Erdogan University, Fener, Türkiye

Mohamed Osman Tokhi

tokhim@lsbu.ac.uk

A Professor of Engineering at University of London South Bank, London, United Kingdom

Lee Chung Yee

lcyee@student.utem.edu.my

Fakulti Teknologi & Kejuruteraan, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Malaysia

Muhammad Muzhafar Mohammad Zawawi

m112420023@student.utem.edu.my

Fakulti Teknologi & Kejuruteraan, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Malaysia
DOI: https://doi.org/10.14313/jamris-2026-019 | Journal eISSN: 2080-2145 | Journal ISSN: 1897-8649
Language: English
Page range: 53 - 62
Submitted on: Jul 1, 2024
Accepted on: Sep 6, 2024
Published on: Jun 22, 2026
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2026 Wan Mohd Bukhari Wan Daud, Adnan Kiral, Mohamed Osman Tokhi, Lee Chung Yee, Muhammad Muzhafar Mohammad Zawawi, published by Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.