Pregled bibliografske jedinice broj: 1210004
Wearables for ML applications in health monitoring: a review of technologies and approaches
Wearables for ML applications in health monitoring: a review of technologies and approaches // 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 (ur.).
Split: Institute of Electrical and Electronics Engineers (IEEE), 2022. 9854216, 6 doi:10.23919/SpliTech55088.2022.9854216 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1210004 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Wearables for ML applications in health monitoring: a review of technologies and approaches
Autori
Zovko, Kristina ; Šerić, Ljiljana ; Šolić, Petar ; Perković, Toni ; Belani, Hrvoje
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
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), 2022
ISBN
978-953-290-116-0
Skup
7th International Conference on Smart and Sustainable Technologies (SpliTech)
Mjesto i datum
Bol, Hrvatska; Split, Hrvatska, 05.07.2022. - 08.07.2022
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
wearable devices ; non-invasive ; machine learning ; sensors
Sažetak
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.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Strojarstvo, Temeljne tehničke znanosti
POVEZANOST RADA
Projekti:
UIP-2017-05-4206 - Internet stvari: istraživanja i primjene (IoTRA) (Šolić, Petar, HRZZ - 2017-05) ( CroRIS)
Ustanove:
Fakultet elektrotehnike, strojarstva i brodogradnje, Split
Profili:
Kristina Zovko (autor)
Hrvoje Belani (autor)
Toni Perković (autor)
Ljiljana Šerić (autor)
Petar Šolić (autor)