dc.contributor.author | GUL, Farhad Ali Irinel | |
dc.contributor.author | TUDOSE, Dan | |
dc.contributor.author | ŢURCANU, Tatiana | |
dc.date.accessioned | 2025-04-25T06:46:07Z | |
dc.date.available | 2025-04-25T06:46:07Z | |
dc.date.issued | 2024 | |
dc.identifier.citation | GUL, Farhad Ali Irinel; Dan TUDOSE and Tatiana ŢURCANU. A versatile IoT development board for environmental sensing and biometric applications. In: 23rd RoEduNet IEEE International Conference: Networking in Education and Research, Romania, Bucharest, 19-20 September, 2024. Institute of Electrical and Electronics Engineers, 2024, pp.1-6. ISBN 979-83-31540-39-5, eISBN 979-83-31540-38-8, ISSN 2068-1038, eISSN 2247-5443. | en_US |
dc.identifier.isbn | 979-83-31540-38-8 | |
dc.identifier.isbn | 979-83-31540-39-5 | |
dc.identifier.issn | 2247-5443 | |
dc.identifier.issn | 2068-1038 | |
dc.identifier.uri | https://doi.org/10.1109/RoEduNet64292.2024.10722601 | |
dc.identifier.uri | https://repository.utm.md/handle/5014/31029 | |
dc.description | Access full text: https://doi.org/10.1109/RoEduNet64292.2024.10722601 | en_US |
dc.description.abstract | This paper presents the design and development of a versatile IoT development board, capable of interfacing with a variety of sensors for environmental interaction. The selection and integration of components, circuit design considerations, and generation of a 3D-printable enclosure are discussed in detail. A theoretical power consumption analysis is provided, along with test programs to validate board functionality. Furthermore, the paper explores the board's integration with a popular programming framework, demonstrating its compatibility and potential for scalable applications. A specific example of gait-based person recognition is presented, utilizing a multi-node network of these boards to collect and process data for biometric identification. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers | en_US |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/us/ | * |
dc.subject | development board | en_US |
dc.subject | microcontroller | en_US |
dc.subject | embedded | en_US |
dc.subject | platformio | en_US |
dc.subject | 3d model | en_US |
dc.title | A versatile IoT development board for environmental sensing and biometric applications | en_US |
dc.type | Article | en_US |
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