TY  - JOUR
AU  - Balogh, Zoltán
AU  - Fodor, Kristián
AU  - Martin, Magdin
AU  - Jan, Francisti
AU  - Štefan, Koprda
AU  - Kővári, Attila
TI  - Development of Available IoT Data Collection Devices to Evaluate Basic Emotions
JF  - ACTA POLYTECHNICA HUNGARICA
J2  - ACTA POLYTECH HUNG
VL  - 19
PY  - 2022
IS  - 11
SP  - 165
EP  - 184
PG  - 20
SN  - 1785-8860
DO  - 10.12700/APH.19.11.2022.11.9
UR  - https://m2.mtmt.hu/api/publication/33497671
ID  - 33497671
N1  - Department of Informatics, Faculty of Natural Sciences and Informatics, Constantine the Philosopher University in Nitra Tr, Andreja Hlinku 1, Nitra, 979 01, Slovakia            
            Institute of Engineering, University of Dunaujváros, Táncsics M. u. 1/a, Dunaujváros, 2400, Hungary            
            Alba Regia Technical Faculty, Óbuda University, Budai út 45, Székesfehérvár, 8000, Hungary            
            GAMF Faculty of Engineering and Computer Science, John von Neumann University, Izsáki u. 10, Kecskemét, 6000, Hungary            
            Eszterházy Károly Catholic University, Institute of Digital Technology, Faculty of Informatics, Eszterházy tér 1, Eger, 3300, Hungary            
            Cited By :7            
            Export Date: 25 March 2024
AB  - For most users, everyday objects are connected to the Internet, using their computational capabilities to form a whole entity, called the IoT (Internet of Things). This article deals with the creation of an available IoT device, with which we will be able to classify the emotional states of the user. Using existing technical solutions and methods that use approaches based on the application of sensors while maintaining their non-invasiveness, we have created such a device. In the analysis of the current state, we describe the possibilities of classifying human emotions, existing classification methods and how the measured data are related to human emotions. Next, we describe the methods used to analyze the collected human physiological signals. We propose a complex system for measuring physiological human signals and subsequent recognition of emotional states. We describe the composition of the proposed system, as well as the specific hardware and software used. At the end, we focus on the functionality and testing of the proposed system. Finally, we perform several measurements, where we evaluate their results and the reliability of the proposed system. © 2022, Budapest Tech Polytechnical Institution. All rights reserved.
LA  - English
DB  - MTMT
ER  -