@article{MTMT:33497671,
	title = {Development of Available IoT Data Collection Devices to Evaluate Basic Emotions},
	url = {https://m2.mtmt.hu/api/publication/33497671},
	author = {Balogh, Zoltán and Fodor, Kristián and Martin, Magdin and Jan, Francisti and Štefan, Koprda and Kővári, Attila},
	doi = {10.12700/APH.19.11.2022.11.9},
	journal-iso = {ACTA POLYTECH HUNG},
	journal = {ACTA POLYTECHNICA HUNGARICA},
	volume = {19},
	unique-id = {33497671},
	issn = {1785-8860},
	abstract = {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.},
	keywords = {sensors; Heart Rate; Emotions; data; FACIAL RECOGNITION; Internet of Things},
	year = {2022},
	eissn = {1785-8860},
	pages = {165-184},
	orcid-numbers = {Kővári, Attila/0000-0003-3521-4757}
}