Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Matteo Polsinelli"'
Autor:
Matteo Polsinelli, Alessandro Di Matteo, Daniele Lozzi, Enrico Mattei, Filippo Mignosi, Lorenzo Nazzicone, Vincenzo Stornelli, Giuseppe Placidi
Publikováno v:
Sensors, Vol 24, Iss 7, p 2227 (2024)
Computer vision (CV)-based systems using cameras and recognition algorithms offer touchless, cost-effective, precise, and versatile hand tracking. These systems allow unrestricted, fluid, and natural movements without the constraints of wearable devi
Externí odkaz:
https://doaj.org/article/a6b8a3ab22634137b7927737a88cb621
Autor:
Massimo De Martinis, Maria Maddalena Sirufo, Matteo Polsinelli, Giuseppe Placidi, Daniela Di Silvestre, Lia Ginaldi
Publikováno v:
The World Journal of Men's Health, Vol 39, Iss 4, Pp 750-759 (2021)
Purpose: Osteoporosis affects more than 200 million people worldwide: its prevalence increases with age and is actually growing due to the constant population aging. Women are at greater risk than men, but in recent years it has become increasingly
Externí odkaz:
https://doaj.org/article/4eb0c09fb6f8449e8470a4dd72334886
Publikováno v:
Sensors, Vol 23, Iss 7, p 3463 (2023)
Telerehabilitation is important for post-stroke or post-surgery rehabilitation because the tasks it uses are reproducible. When combined with assistive technologies, such as robots, virtual reality, tracking systems, or a combination of them, it can
Externí odkaz:
https://doaj.org/article/f5df29867fce4100b5b41b120a01d932
Autor:
Sara Invitto, Alberto Grasso, Dario Domenico Lofrumento, Vincenzo Ciccarese, Angela Paladini, Pasquale Paladini, Raffaella Marulli, Vilfredo De Pascalis, Matteo Polsinelli, Giuseppe Placidi
Publikováno v:
Brain Sciences, Vol 10, Iss 4, p 201 (2020)
3M syndrome is a rare disorder that involves the gene cullin-7 (CUL7). CUL7 modulates odour detection, conditions the olfactory response (OR) and plays a role in the development of the olfactory system. Despite this involvement, there are no direct s
Externí odkaz:
https://doaj.org/article/afa2e6ab9914476db8ebbf6de055510d
Publikováno v:
Sensors, Vol 18, Iss 3, p 834 (2018)
Hand rehabilitation is fundamental after stroke or surgery. Traditional rehabilitation requires a therapist and implies high costs, stress for the patient, and subjective evaluation of the therapy effectiveness. Alternative approaches, based on mecha
Externí odkaz:
https://doaj.org/article/8e324e3b86424bd9ac5f8d05931d5c4f
Publikováno v:
2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::71576673e07f224e42761c5cd758b89e
https://doi.org/10.1109/wi-iat55865.2022.00103
https://doi.org/10.1109/wi-iat55865.2022.00103
Autor:
Giuseppe Placidi, Luigi Cinque, Michele Nappi, Matteo Polsinelli, Alessandro Sciarra, Genoveffa Tortora
Publikováno v:
2022 16th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::25a8a90256e9f68580bb1c5a77e81850
https://doi.org/10.1109/sitis57111.2022.00034
https://doi.org/10.1109/sitis57111.2022.00034
Autor:
João Manuel R. S. Tavares, Danilo Avola, Luigi Cinque, Giuseppe Placidi, Matteo Polsinelli, Eleni Theodoridou
Publikováno v:
Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
Virtual Glove (VG) is a low-cost computer vision system that utilizes two orthogonal LEAP motion sensors to provide detailed 4D hand tracking in real–time. VG can find many applications in the field of human-system interaction, such as remote contr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::504047a5b2b17d90f083cfcb879f51a0
https://doi.org/10.1007/s11042-020-10296-8
https://doi.org/10.1007/s11042-020-10296-8
Autor:
Eleni Theodoridou, Luigi Cinque, Filippo Mignosi, Giuseppe Placidi, Matteo Polsinelli, Joao Manuel R. S. Tavares, Matteo Spezialetti
Hand tracking and gesture recognition are fundamental in a multitude of applications. Various sensors have been used for this purpose, however, all monocular vision systems face limitations caused by occlusions. Wearable equipment overcome said limit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f73aa526297c1b321003b47e938a913
https://hdl.handle.net/10216/148114
https://hdl.handle.net/10216/148114
