Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Ignazio Passero"'
Publikováno v:
IEEE Access, Vol 8, Pp 207404-207414 (2020)
Pepper is a humanoid robot that just embeds the few computational resources for controlling its sensors and actuators, and is not capable of handling big amounts of data or performing in parallel complicate tasks. Aiming at enriching its functionalit
Externí odkaz:
https://doaj.org/article/4ef01cccdf75468b9fd64fd38244c355
Publikováno v:
Je-LKS: Journal of E-Learning and Knowledge Society, Vol 5, Iss 3 (2009)
Many well known international business organizations are interested in virtual worlds considered as a valid support to distance cooperation and training. This paper describes the Second Life experience, gained by the authors to support the distance
Externí odkaz:
https://doaj.org/article/bb13790cde95419898c306b1547aa60f
Publikováno v:
IEEE Transactions on Industrial Informatics. 18:1397-1404
Pepper is a humanoid robot capable of expressing body language, perceiving, and interacting with its surrounding environment, thanks to a wide set of sensors and actuators and exposing capabilities and high-level interfaces for natural interaction wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2729205537891c5055e75286104350de
https://doi.org/10.1109/tii.2021.3090363
https://doi.org/10.1109/tii.2021.3090363
Publikováno v:
Future Generation Computer Systems. 125:774-784
In traditional classroom education the teacher can easily perceive or obtain the engagements of the students by observing them. Distance education is affected by the absence of such a feedback coming from expressions and behaviours of the students at
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6681b9eb3b210a7c4ca8a16aa1e63b79
https://doi.org/10.1016/j.future.2021.07.026
https://doi.org/10.1016/j.future.2021.07.026
Publikováno v:
IEEE Access, Vol 8, Pp 207404-207414 (2020)
Pepper is a humanoid robot that just embeds the few computational resources for controlling its sensors and actuators, and is not capable of handling big amounts of data or performing in parallel complicate tasks. Aiming at enriching its functionalit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c523cb855b0f1c12eac49c24e030cca0
https://ieeexplore.ieee.org/document/9257350/
https://ieeexplore.ieee.org/document/9257350/
Social robots adopt an emotional touch to interact with users inducing and transmitting humanlike emotions. Natural interaction with humans needs to be in real time and well grounded on the full availability of information on the environment. These r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::731240dcec17309c64341f8fe8a9e7e3
http://hdl.handle.net/11367/103556
http://hdl.handle.net/11367/103556
Deep knowledge about user characteristics and behaviors opens new and promising landscapes to the User Experience. Thanks to emerging machine learning techniques, a new form of communication channel among users and applications may be exploited for c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d33be4c3b17b7500eb1c6c2876b4427e
http://hdl.handle.net/11386/4777193
http://hdl.handle.net/11386/4777193
Publikováno v:
Encyclopedia of Cryptography, Security and Privacy ISBN: 9783642277399
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2108dba4f1a841e90a6ccb62b325a2fd
http://hdl.handle.net/11386/4776586
http://hdl.handle.net/11386/4776586
In image set classification, dual linear regression classification (DLRC) has shown the excellent performance on face image data without the interference of the complex background. However, DLRC could not well identify the data set with the complex b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::99dde0dad2ac1b7551d45056f7d1a164
http://hdl.handle.net/11386/4754489
http://hdl.handle.net/11386/4754489
Publikováno v:
AVI
Recent advances in Machine Learning have unveiled interesting possibilities for real-time investigating about user characteristics and expressions like, but not limited to, age, sex, body posture, emotions and moods. These new opportunities lay the f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::97eade9e01c06aee0058c0ec41267316
http://hdl.handle.net/11367/87813
http://hdl.handle.net/11367/87813