Zobrazeno 1 - 10
of 168
pro vyhledávání: '"Daniela De Venuto"'
Autor:
Giovanni Mezzina, Daniela De Venuto
Publikováno v:
Sensors, Vol 22, Iss 24, p 9753 (2022)
Levodopa administration is currently the most common treatment to alleviate Parkinson’s Disease (PD) symptoms. Nevertheless, prolonged use of Levodopa leads to a wearing-off (WO) phenomenon, causing symptoms to reappear. To build a personalized tre
Externí odkaz:
https://doaj.org/article/0fd04ce34c8943898691e6e0029b2f5a
Autor:
Giovanni Mezzina, Daniela De Venuto
Publikováno v:
Sensors, Vol 23, Iss 1, p 103 (2022)
Most of the humanoid social robots currently diffused are designed only for verbal and animated interactions with users, and despite being equipped with two upper arms for interactive animation, they lack object manipulation capabilities. In this pap
Externí odkaz:
https://doaj.org/article/ab49e94a73fb42b5bafb95ed5a7c9810
Publikováno v:
Sensors, Vol 21, Iss 24, p 8280 (2021)
In a progressively interconnected world where the Internet of Things (IoT), ubiquitous computing, and artificial intelligence are leading to groundbreaking technology, cybersecurity remains an underdeveloped aspect. This is particularly alarming for
Externí odkaz:
https://doaj.org/article/bbfefd853bc84202a027fc2873f72877
Autor:
Daniela De Venuto, Giovanni Mezzina
Publikováno v:
Sensors, Vol 21, Iss 12, p 3961 (2021)
In this paper, we propose a breakthrough single-trial P300 detector that maximizes the information translate rate (ITR) of the brain–computer interface (BCI), keeping high recognition accuracy performance. The architecture, designed to improve the
Externí odkaz:
https://doaj.org/article/db6f365c440f43828362f7146a6f3b71
Autor:
Daniela De Venuto, Giovanni Mezzina
Publikováno v:
Sensors, Vol 20, Iss 3, p 769 (2020)
Falls are a significant cause of loss of independence, disability and reduced quality of life in people with Parkinson’s disease (PD). Intervening quickly and accurately on the postural instability could strongly reduce the consequences of falls. I
Externí odkaz:
https://doaj.org/article/e00c8c89b42f4a7896d67f2fbf30b89e
Autor:
Daniela De Venuto, Giovanni Mezzina
Publikováno v:
Sensors, Vol 19, Iss 20, p 4594 (2019)
This paper proposes a novel architecture of a wearable Field Programmable Gate Array (FPGA)-based platform to dynamically monitor Muscle Fiber Conduction Velocity (MFCV). The system uses a set of wireless sensors for the detection of muscular activat
Externí odkaz:
https://doaj.org/article/eadf33683f6940f2898a03435818640e
Autor:
Daniela De Venuto, Giovanni Mezzina
Publikováno v:
Sensors, Vol 18, Iss 7, p 2126 (2018)
The waste in the perishable goods supply-chain has prompted many global organizations (e.g., FAO and WHO), to develop the Hazard Analysis and Critical Control Points (HACCP) protocol that ensures a high degree of food quality, minimizing the losses i
Externí odkaz:
https://doaj.org/article/f25d802ac7624a1c9409bd96543cebef
Publikováno v:
IEEE Sensors Letters. 6:1-4
Publikováno v:
Proceedings of SIE 2022 ISBN: 9783031260650
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e060e6dcb6584ae010ee2476b79d1f25
https://doi.org/10.1007/978-3-031-26066-7_39
https://doi.org/10.1007/978-3-031-26066-7_39
Autor:
Giovanni Mezzina, Cataldo L. Saragaglia, Mario Barbareschi, Diana Serra, Salvatore De Simone, Alberto Moriconi, Daniela De Venuto
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9783031303326
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6eed10c7eda407f6a4dda5a40d2b4643
https://doi.org/10.1007/978-3-031-30333-3_21
https://doi.org/10.1007/978-3-031-30333-3_21