Wearables for ML applications in health monitoring: a review of technologies and approaches (CROSBI ID 721825)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Zovko, Kristina ; Šerić, Ljiljana ; Šolić, Petar ; Perković, Toni ; Belani, Hrvoje
engleski
Wearables for ML applications in health monitoring: a review of technologies and approaches
In this paper, state-of-the-art wearable devices and related sensors that these devices use for non-invasive human health monitoring are analysed. The focus of the given device analysis is to describe which data is acquired for AI applications estimating human health status. This way, given analysis, provides the vertical from the sensor itself to its final applications that state-of-the-art work presents.
wearable devices ; non-invasive ; machine learning ; sensors
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Podaci o prilogu
9854216
2022.
objavljeno
10.23919/SpliTech55088.2022.9854216
Podaci o matičnoj publikaciji
Proceedings of the 2022 7th International Conference on Smart and Sustainable Technologies (SpliTech)
Šolić, Petar ; Nižetić, Sandro ; Rodrigues, Joel J. P. C. ; López-de-Ipiña González-de-Artaza, Diego ; Perković, Toni ; Catarinucci, Luca ; Patrono, Luigi
Split: Institute of Electrical and Electronics Engineers (IEEE)
978-953-290-116-0
Podaci o skupu
7th International Conference on Smart and Sustainable Technologies (SpliTech 2022)
predavanje
05.07.2022-08.07.2022
Split / Bol, Hrvatska
Povezanost rada
Trošak objave rada u otvorenom pristupu
Elektrotehnika, Strojarstvo, Temeljne tehničke znanosti