Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Valentino Megale"'
Publikováno v:
Frontiers in Virtual Reality, Vol 3 (2023)
Externí odkaz:
https://doaj.org/article/a17125230f3343ebba90a35aad7133bf
Autor:
Francesco Cerritelli, Marco Chiera, Marco Abbro, Valentino Megale, Jorge Esteves, Alberto Gallace, Andrea Manzotti
Publikováno v:
Frontiers in Neurology, Vol 12 (2021)
Virtual reality (VR) and augmented reality (AR) have been combined with physical rehabilitation and psychological treatments to improve patients' emotional reactions, body image, and physical function. Nonetheless, no detailed investigation assessed
Externí odkaz:
https://doaj.org/article/f1e9ec0794ef4e84897f6ece62055f2d
Autor:
Claudia Floris, Sarah Solbiati, Federica Landreani, Gianfranco Damato, Bruno Lenzi, Valentino Megale, Enrico Gianluca Caiani
Publikováno v:
Sensors, Vol 20, Iss 24, p 7168 (2020)
Virtual reality (VR) headsets, with embedded micro-electromechanical systems, have the potential to assess the mechanical heart’s functionality and respiratory activity in a non-intrusive way and without additional sensors by utilizing the ballisto
Externí odkaz:
https://doaj.org/article/f9dbd9e41d284ff0bac3c3119f524c5f
Autor:
Francesco Salamone, Alice Bellazzi, Lorenzo Belussi, Gianfranco Damato, Ludovico Danza, Federico Dell’Aquila, Matteo Ghellere, Valentino Megale, Italo Meroni, Walter Vitaletti
Publikováno v:
Sensors, Vol 20, Iss 6, p 1627 (2020)
Personal Thermal Comfort models consider personal user feedback as a target value. The growing development of integrated “smart” devices following the concept of the Internet of Things and data-processing algorithms based on Machine Learning tech
Externí odkaz:
https://doaj.org/article/dfcee1587369442cae59b6050ddaf72c
Autor:
Valentino Megale, Maddalena Casale, Raffaella Colombatti, Valeria Pinto, Ilaria Baido, Cristina Brentan, Gian Luca Forni, Miriam Forte, Barbara Gianesin, Francesca Grieco, Elizabeth Maran, Vania Munaretto, Silverio Perrotta, Maria Caterina Putti, Giacomo Robello
Publikováno v:
Blood. 140:13049-13050
Autor:
Sarah Solbiati, Andrea Buffoli, Valentino Megale, Gianfranco Damato, Bruno Lenzi, Giacomo Langfelder, Enrico G. Caiani
Publikováno v:
2022 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL).
Autor:
Alice Bellazzi, Laura Bellia, Giorgia Chinazzo, Federica Corbisiero, Pierpaolo D'Agostino, Anna Devitofrancesco, Francesca Fragliasso, Matteo Ghellere, Valentino Megale, Francesco Salamone
Publikováno v:
Building and environment 209 (2021). doi:10.1016/j.buildenv.2021.108674
info:cnr-pdr/source/autori:Alice Bellazzi, Laura Bellia, Giorgia Chinazzo, Federica Corbisiero, Pierpaolo D'Agostino, Anna Devitofrancesco, Francesca Fragliasso, Matteo Ghellere, Valentino Megale, Francesco Salamone/titolo:Virtual reality for assessing visual quality and lighting perception: A systematic review/doi:10.1016%2Fj.buildenv.2021.108674/rivista:Building and environment/anno:2021/pagina_da:/pagina_a:/intervallo_pagine:/volume:209
info:cnr-pdr/source/autori:Alice Bellazzi, Laura Bellia, Giorgia Chinazzo, Federica Corbisiero, Pierpaolo D'Agostino, Anna Devitofrancesco, Francesca Fragliasso, Matteo Ghellere, Valentino Megale, Francesco Salamone/titolo:Virtual reality for assessing visual quality and lighting perception: A systematic review/doi:10.1016%2Fj.buildenv.2021.108674/rivista:Building and environment/anno:2021/pagina_da:/pagina_a:/intervallo_pagine:/volume:209
The achievement of a good visual environment is key to guaranteeing human satisfaction indoors. In this context, it is crucial to assess the visual environment through the measurement of human perception. However, the assessment of the visual environ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7aac34760c45dfc699aaa67f837ac185
https://www.sciencedirect.com/science/article/pii/S0360132321010647
https://www.sciencedirect.com/science/article/pii/S0360132321010647
Autor:
Enrico G. Caiani, Valentino Megale, Gianfranco Damato, Sarah Solbiati, Bruno Lenzi, Federica Landreani, Claudia Floris
Publikováno v:
Sensors (Basel, Switzerland)
Sensors, Vol 20, Iss 7168, p 7168 (2020)
Sensors (Basel) 20 (2020): 1–21. doi:10.3390/s20247168
info:cnr-pdr/source/autori:Floris C.; Solbiati S.; Landreani F.; Damato G.; Lenzi B.; Megale V.; Caiani E.G./titolo:Feasibility of heart rate and respiratory rate estimation by inertial sensors embedded in a virtual reality headset/doi:10.3390%2Fs20247168/rivista:Sensors (Basel)/anno:2020/pagina_da:1/pagina_a:21/intervallo_pagine:1–21/volume:20
Sensors; Volume 20; Issue 24; Pages: 7168
Sensors, Vol 20, Iss 7168, p 7168 (2020)
Sensors (Basel) 20 (2020): 1–21. doi:10.3390/s20247168
info:cnr-pdr/source/autori:Floris C.; Solbiati S.; Landreani F.; Damato G.; Lenzi B.; Megale V.; Caiani E.G./titolo:Feasibility of heart rate and respiratory rate estimation by inertial sensors embedded in a virtual reality headset/doi:10.3390%2Fs20247168/rivista:Sensors (Basel)/anno:2020/pagina_da:1/pagina_a:21/intervallo_pagine:1–21/volume:20
Sensors; Volume 20; Issue 24; Pages: 7168
Virtual reality (VR) headsets, with embedded micro-electromechanical systems, have the potential to assess the mechanical heart’s functionality and respiratory activity in a non-intrusive way and without additional sensors by utilizing the ballisto
Autor:
Italo Meroni, Matteo Ghellere, Francesco Salamone, Ludovico Danza, Federico Dell’Aquila, Gianfranco Damato, Walter Vitaletti, Lorenzo Belussi, Valentino Megale, Alice Bellazzi
Publikováno v:
Sensors (Basel) 20 (2020). doi:10.3390/s20061627
info:cnr-pdr/source/autori:Salamone, F.; Bellazzi, A.; Belussi, L.; Damato, G.; Danza, L.; Dell'Aquila, F.; Ghellere, M.; Megale, V.; Meroni, I.; Vitaletti, W./titolo:Evaluation of the Visual Stimuli on Personal Thermal Comfort Perception in Real and Virtual Environments Using Machine Learning Approaches/doi:10.3390%2Fs20061627/rivista:Sensors (Basel)/anno:2020/pagina_da:/pagina_a:/intervallo_pagine:/volume:20
Sensors
Volume 20
Issue 6
Sensors, Vol 20, Iss 6, p 1627 (2020)
Sensors (Basel, Switzerland)
info:cnr-pdr/source/autori:Salamone, F.; Bellazzi, A.; Belussi, L.; Damato, G.; Danza, L.; Dell'Aquila, F.; Ghellere, M.; Megale, V.; Meroni, I.; Vitaletti, W./titolo:Evaluation of the Visual Stimuli on Personal Thermal Comfort Perception in Real and Virtual Environments Using Machine Learning Approaches/doi:10.3390%2Fs20061627/rivista:Sensors (Basel)/anno:2020/pagina_da:/pagina_a:/intervallo_pagine:/volume:20
Sensors
Volume 20
Issue 6
Sensors, Vol 20, Iss 6, p 1627 (2020)
Sensors (Basel, Switzerland)
Personal Thermal Comfort models consider personal user feedback as a target value. The growing development of integrated &ldquo
smart&rdquo
devices following the concept of the Internet of Things and data-processing algorithms based on Mach
smart&rdquo
devices following the concept of the Internet of Things and data-processing algorithms based on Mach
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c0fc9e3e911833e598e6cfb5690fd4bb
https://www.mdpi.com/1424-8220/20/6/1627
https://www.mdpi.com/1424-8220/20/6/1627
Autor:
Gianfranco Damato, Ludovico Danza, Alice Bellazzi, Lorenzo Belussi, Walter Vitaletti, Italo Meroni, Francesco Salamone, Federico Dell’Aquila, Valentino Megale, Matteo Ghellere
Publikováno v:
75th National ATI Congress-#7 Clean Energy for all (ATI 2020), Roma, 02/09/2020, 04/09/2020
info:cnr-pdr/source/autori:Francesco Salamone, Alice Bellazzi, Lorenzo Belussi, Gianfranco Damato, Ludovico Danza, Federico Dell'Aquila, Matteo Ghellere, Valentino Megale, Italo Meroni and Walter Vitaletti/congresso_nome:75th National ATI Congress-#7 Clean Energy for all (ATI 2020)/congresso_luogo:Roma/congresso_data:02%2F09%2F2020, 04%2F09%2F2020/anno:2020/pagina_da:/pagina_a:/intervallo_pagine
E3S Web of Conferences, Vol 197, p 04001 (2020)
info:cnr-pdr/source/autori:Francesco Salamone, Alice Bellazzi, Lorenzo Belussi, Gianfranco Damato, Ludovico Danza, Federico Dell'Aquila, Matteo Ghellere, Valentino Megale, Italo Meroni and Walter Vitaletti/congresso_nome:75th National ATI Congress-#7 Clean Energy for all (ATI 2020)/congresso_luogo:Roma/congresso_data:02%2F09%2F2020, 04%2F09%2F2020/anno:2020/pagina_da:/pagina_a:/intervallo_pagine
E3S Web of Conferences, Vol 197, p 04001 (2020)
Personal Thermal Comfort models differ from the steady-state methods because they consider personal user feedback as target value. Today, the availability of integrated “smart” devices following the concept of the Internet of Things and Machine L