Balogh, János Dávid and Adamkó, Attila (2025) AI-assisted sensor data processing using machine learning and fuzzy logic. In: Proceedings of the International Conference on Formal Methods and Foundations of Artificial Intelligence. Eszterházy Károly Katolikus Egyetem Líceum Kiadó, Eger, pp. 23-37. ISBN 9789634963035
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Abstract
In today’s world, we are surrounded by smart devices, which we increasingly focus on, while we may pay less attention to our health and sports activities. Smart devices, especially those we wear, can collect a lot of data about us, which might be used to maintain and improve our health. This paper is dedicated to creating an AI assistant that creates two-way communication between the user and the components. Two components ensure that the goals are achieved: a service containing machine learning and a service implementing fuzzy logic. The services read the data from a database cluster. Since a lot of data are received from users every day, we had to implement an architecture that is scalable, modular, and expandable. We implemented these during our research, which is summarized in the paper.
| Item Type: | Book Section |
|---|---|
| Additional Information: | International Conference on Formal Methods and Foundations of Artificial Intelligence, Eger, June 5–7, 2025 |
| Subjects: | Q Science / természettudomány > QA Mathematics / matematika > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány |
| SWORD Depositor: | MTMT SWORD |
| Depositing User: | MTMT SWORD |
| Date Deposited: | 30 Oct 2025 14:51 |
| Last Modified: | 30 Oct 2025 14:51 |
| URI: | https://real.mtak.hu/id/eprint/227767 |
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