Skip to Main Content (Press Enter)

Logo UNIBG
  • ×
  • Home
  • Corsi
  • Insegnamenti
  • Persone
  • Pubblicazioni
  • Strutture
  • Terza Missione
  • Attività
  • Competenze

UNI-FIND
Logo UNIBG

|

UNI-FIND

unibg.it
  • ×
  • Home
  • Corsi
  • Insegnamenti
  • Persone
  • Pubblicazioni
  • Strutture
  • Terza Missione
  • Attività
  • Competenze
  1. Pubblicazioni

Smartwatch data from non-competitive athletes during the GiroE-2024 e-bike multi-stage race

Articolo
Data di Pubblicazione:
2026
Citazione:
(2026). Smartwatch data from non-competitive athletes during the GiroE-2024 e-bike multi-stage race [journal article - articolo]. In DATA IN BRIEF. Retrieved from https://hdl.handle.net/10446/317608
Abstract:
This article presented the data collected with 9 Garmin Fēnix® 7 - Standard Edition smartwatches during the GiroE-2024. GiroE is an annual e-bike event that runs concurrently with the Giro d'Italia, one of the most prestigious and challenging road cycling races worldwide. Participants ride along selected stages of the Giro d'Italia route, enjoying the same terrains and atmosphere on pedal-assisted bicycles. The data was collected with an ad-hoc application installed on each smartwatch, purposely developed to log raw data from all available sensors at the maximum sampling frequency possible. The resulting dataset contains raw data from location sensor (based on global navigation satellite system GNSS), heart rate sensor (using photoplethysmography -PPG- and taking advantage from the Garmin Elevate proprietary technology), barometric altimeter, digital compass, tri-axial accelerometer, and thermometer. The data was collected during the programme ‘Strengthening of research structures and creation of national R&D champions on certain Key Enabling Technologies’ by the ‘National Centre for Sustainable Mobility', Spoke N° 5 - ‘Light Vehicle and Active Mobility’, funded by the Italian Ministry of University and Research with European Union “Next Generation EU” funds. Therefore, the dataset presented in this article provides raw data supporting research on cyclist behaviour, road conditions, and heart rate modelling. It could be useful in assessing smartwatch data integration and can provide a ground truth for clinical trials made in similar conditions, acting as a “normal” condition for further reference.
Tipologia CRIS:
1.1.01 Articoli/Saggi in rivista - Journal Articles/Essays
Elenco autori:
Bellagente, Paolo; Brandāo, Dennis; Dello Iacono, Salvatore; Ferrari, Paolo; Flammini, Alessandra; Gaffurini, Massimiliano; Gaioni, Luigi; Malighetti, Paolo; Rinaldi, Stefano; Sisinni, Emiliano; Verzeroli, Matteo
Autori di Ateneo:
GAIONI Luigi
MALIGHETTI Paolo
VERZEROLI Matteo
Link alla scheda completa:
https://aisberg.unibg.it/handle/10446/317608
Link al Full Text:
https://aisberg.unibg.it/retrieve/handle/10446/317608/926478/1-s2.0-S2352340925011539-main.pdf
Pubblicato in:
DATA IN BRIEF
Journal
  • Ricerca

Ricerca

Settori


Settore IINF-01/A - Elettronica
  • Utilizzo dei cookie

Realizzato con VIVO | Designed by Cineca | 26.4.0.0