Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Damiano Fruet"'
Publikováno v:
IEEE Access, Vol 11, Pp 128383-128409 (2023)
Mental health is vital for emotional, psychological, and social well-being. Mental illness can affect thoughts, feelings, and behaviors. Early intervention and specialized care can manage major mental illnesses. Predicting mental state accurately can
Externí odkaz:
https://doaj.org/article/8fcf29bbf5454f0391f64b368a72479e
Autor:
Andrea Zignoli, Damiano Fruet
Publikováno v:
Sports Engineering. 25
Autor:
Andrea Zignoli, Damiano Fruet
Publikováno v:
2022 IEEE International Workshop on Sport, Technology and Research (STAR).
Publikováno v:
2022 IEEE International Workshop on Sport, Technology and Research (STAR).
Autor:
Damiano Fruet, Andrea Zignoli, Vigilio Fontanari, Francesco Biral, Sunil Raghavendra, Mauro Pezzato, Eric Saeter
Publikováno v:
2022 IEEE International Workshop on Sport, Technology and Research (STAR).
Publikováno v:
2022 IEEE International Workshop on Sport, Technology and Research (STAR).
We propose an objective stress assessment method based on the extraction of features from physiological time series and their classification using Support Vector Machine and K-Nearest Neighbors algorithms. For this purpose, we used an open dataset co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9095824bcc5a83a2b53300f25fb6db1e
http://hdl.handle.net/10447/567643
http://hdl.handle.net/10447/567643
Autor:
Alessandro Luchetti, Isidro Butaslac, Manuel Rosi, Damiano Fruet, Giandomenico Nollo, Patrizia Gabriella Ianes, Francesco Pilla, Barbara Gasperini, Giovanni Maria Achille Guandalini, Jacopo Bonavita, Hirokazu Kato, Mariolino De Cecco
Publikováno v:
2022 IEEE International Workshop on Metrology for Living Environment (MetroLivEn).
Publikováno v:
Expert Systems with Applications. 202:117172
Autor:
Damiano Fruet, Gennaro Boccia, Alessandro Fornasiero, Aldo Savoldelli, Barbara Pellegrini, Federico Schena
The aims of the study were to describe the physiological profile of a 65-km (4000-m cumulative elevation gain) running mountain ultra-marathon (MUM) and to identify predictors of MUM performance. Twenty-three amateur trail-runners performed anthropom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac7f2579df6f296967770193a2513e82
http://hdl.handle.net/11562/973485
http://hdl.handle.net/11562/973485