Wearables for ML applications in health monitoring: a review of technologies and approaches

Jul 5, 2022·
Kristina Zovko
,
Ljiljana Šerić
,
Petar Šolić
Toni Perković
Toni Perković
,
Hrvoje Belani
DOI

Abstract

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.

Type

Publication

International Conference on Smart and Sustainable Technologies (SpliTech), 1–6

Status

Peer-reviewed
publications
Toni Perković
Authors
Toni Perković
Full Professor
I am a Full Professor in the Department of Electronics and Computing at the Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture (FESB), University of Split, Croatia, where I teach wireless network security, wireless communication networks, data science and reinforcement learning. My research spans information security, applied cryptography and the Internet of Things. Before returning to FESB in 2020, I was an assistant and then associate professor at the University Department of Forensic Sciences in Split. I co-founded the SpliTech international conference and serve on the editorial board of the Journal of Communications Software and Systems.