Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Sabrina Iarlori"'
Autor:
Sabrina Iarlori, David Perpetuini, Michele Tritto, Daniela Cardone, Alessandro Tiberio, Manish Chinthakindi, Chiara Filippini, Luca Cavanini, Alessandro Freddi, Francesco Ferracuti, Arcangelo Merla, Andrea Monteriù
Publikováno v:
BioMedInformatics, Vol 4, Iss 2, Pp 1155-1173 (2024)
Background: Human-Machine Interaction (HMI) has been an important field of research in recent years, since machines will continue to be embedded in many human actvities in several contexts, such as industry and healthcare. Monitoring in an ecological
Externí odkaz:
https://doaj.org/article/6fe4beb1d4fa43669c305b2ace598b46
Publikováno v:
Frontiers in Neuroergonomics, Vol 5 (2024)
Externí odkaz:
https://doaj.org/article/347fa07c69a44d458ee04d542101dc1d
Autor:
Alessandro Freddi, Andrea Monteriù, Vicente Ferreira De Lucena, Francesco Ferracuti, Sabrina Iarlori
Publikováno v:
Frontiers in Robotics and AI, Vol 10 (2023)
Externí odkaz:
https://doaj.org/article/c3d277a09ca2444f9c5519bb729a2f22
Autor:
Francesco Ferracuti, Alessandro Freddi, Sabrina Iarlori, Andrea Monteriù, Karameldeen Ibrahim Mohamed Omer, Camillo Porcaro
Publikováno v:
Frontiers in Robotics and AI, Vol 9 (2022)
Human-in-the-loop approaches can greatly enhance the human–robot interaction by making the user an active part of the control loop, who can provide a feedback to the robot in order to augment its capabilities. Such feedback becomes even more import
Externí odkaz:
https://doaj.org/article/c9c158eb0878442fb790fffc5ff176e3
Publikováno v:
Brain Sciences, Vol 12, Iss 1, p 57 (2021)
The ability to control external devices through thought is increasingly becoming a reality. Human beings can use the electrical signals of their brain to interact or change the surrounding environment and more. The development of this technology call
Externí odkaz:
https://doaj.org/article/c6d88f7332214fc590fedc3518d2d580
Autor:
Nibras Abo Alzahab, Luca Apollonio, Angelo Di Iorio, Muaaz Alshalak, Sabrina Iarlori, Francesco Ferracuti, Andrea Monteriù, Camillo Porcaro
Publikováno v:
Brain Sciences, Vol 11, Iss 1, p 75 (2021)
Background: Brain-Computer Interface (BCI) is becoming more reliable, thanks to the advantages of Artificial Intelligence (AI). Recently, hybrid Deep Learning (hDL), which combines different DL algorithms, has gained momentum over the past five years
Externí odkaz:
https://doaj.org/article/dac72e1fd3ad4510ad4c15e002222311
Autor:
Alessandro Baldini, Riccardo Felicetti, Francesco Ferracuti, Alessandro Freddi, Sabrina Iarlori, Andrea Monteriù
Publikováno v:
Engineering Applications of Artificial Intelligence. 123:106343
Autor:
Alessandro Freddi, Camillo Porcaro, Francesco Ferracuti, Andrea Monteriù, Sabrina Iarlori, Sauro Longhi
Assistive robots operate in complex environments and in presence of human beings, but the interaction between them can be affected by several factors, which may lead to undesired outcomes: wrong sensor readings, unexpected environmental conditions, o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::177a6dc04380144c9a4417769f8976cc
https://hdl.handle.net/11577/3405362
https://hdl.handle.net/11577/3405362
Publikováno v:
Brain Sciences, Vol 12, Iss 57, p 57 (2022)
Brain Sciences
Brain Sciences; Volume 12; Issue 1; Pages: 57
Brain Sciences
Brain Sciences; Volume 12; Issue 1; Pages: 57
The ability to control external devices through thought is increasingly becoming a reality. Human beings can use the electrical signals of their brain to interact or change the surrounding environment and more. The development of this technology call
Autor:
David C. Nchekwube, Francesco Ferracuti, Alessandro Freddi, Sabrina Iarlori, Sauro Longhi, Andrea Monteriu
Publikováno v:
2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE).