Výsledky vyhledávání - "TEDESCO, Salvatore"

Akademický článek

Older Adults’ Experiences With Using Wearable Devices: Qualitative Systematic Review and Meta-synthesis

Autor: Moore, Kevin, O'Shea, Emma, Kenny, Lorna, Barton, John, Tedesco, Salvatore, Sica, Marco, Crowe, Colum, Alamäki, Antti, Condell, Joan, Nordström, Anna, Timmons, Suzanne

Publikováno v: JMIR mHealth and uHealth, Vol 9, Iss 6, p e23832 (2021)

BackgroundOlder adults may use wearable devices for various reasons, ranging from monitoring clinically relevant health metrics or detecting falls to monitoring physical activity. Little is known about how this population engages with wearable device

Externí odkaz: https://doaj.org/article/70279ea226784b1982cd874b1117ec34

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Akademický článek

Validity Evaluation of the Fitbit Charge2 and the Garmin vivosmart HR+ in Free-Living Environments in an Older Adult Cohort

Autor: Tedesco, Salvatore, Sica, Marco, Ancillao, Andrea, Timmons, Suzanne, Barton, John, O'Flynn, Brendan

Publikováno v: JMIR mHealth and uHealth, Vol 7, Iss 6, p e13084 (2019)

BackgroundFew studies have investigated the validity of mainstream wrist-based activity trackers in healthy older adults in real life, as opposed to laboratory settings. ObjectiveThis study explored the performance of two wrist-worn trackers (Fitbit

Externí odkaz: https://doaj.org/article/bd1fa2b9fab94aff8a83edc9b75c466d

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Report

Deep learning assisted robust detection techniques for a chipless RFID sensor tag

Autor: Rather, Nadeem, Simorangkir, Roy B. V. B., Buckley, John L., O'Flynn, Brendan, Tedesco, Salvatore

In this paper, we present a new approach for robust reading of identification and sensor data from chipless RFID sensor tags. For the first time, Machine Learning (ML) and Deep Learning (DL) regression modelling techniques are applied to a dataset of

Externí odkaz: http://arxiv.org/abs/2308.13944