Zobrazeno 1 - 10
of 191
pro vyhledávání: '"Yiannis Demiris"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract The visual attentional deficits in delirium are poorly characterized. Studies have highlighted neuro-anatomical abnormalities in the visual processing stream but fail at quantifying these abnormalities at a functional level. To identify thes
Externí odkaz:
https://doaj.org/article/69b72472d9714642b9101a878205649c
Publikováno v:
IEEE Journal of Translational Engineering in Health and Medicine, Vol 12, Pp 488-498 (2024)
Objective: Delirium, an acute confusional state, affects 20-80% of patients in Intensive Care Units (ICUs), one in three medically hospitalized patients, and up to 50% of all patients who have had surgery. Its development is associated with short- an
Externí odkaz:
https://doaj.org/article/ba8d3aaa4deb4a568d43637555a22206
Autor:
Metin Yarici, Wilhelm Von Rosenberg, Ghena Hammour, Harry Davies, Pierluigi Amadori, Nico Ling, Yiannis Demiris, Danilo P. Mandic
Publikováno v:
Royal Society Open Science, Vol 11, Iss 1 (2024)
The ear is well positioned to accommodate both brain and vital signs monitoring, via so-called hearable devices. Consequently, ear-based electroencephalography has recently garnered great interest. However, despite the considerable potential of heara
Externí odkaz:
https://doaj.org/article/b1412a0d23294137ac16233b19a759e8
Autor:
Yavor Dragostinov, Daney Harðardóttir, Peter Edward McKenna, David A. Robb, Birthe Nesset, Muneeb Imtiaz Ahmad, Marta Romeo, Mei Yii Lim, Chuang Yu, Youngkyoon Jang, Mohammed Diab, Angelo Cangelosi, Yiannis Demiris, Helen Hastie, Gnanathusharan Rajendran
Publikováno v:
Methods in Psychology, Vol 7, Iss , Pp 100103- (2022)
This study implemented a Delphi Method; a systematic technique which relies on a panel of experts to achieve consensus, to evaluate which questionnaire items would be the most relevant for developing a new Propensity to Trust scale. Following an init
Externí odkaz:
https://doaj.org/article/cdc44e4c078a49db95c8bffce0e97337
Publikováno v:
IEEE Access, Vol 8, Pp 45700-45714 (2020)
Assistive robots in home environments are steadily increasing in popularity. Due to significant variabilities in human behaviour, as well as physical characteristics and individual preferences, personalising assistance poses a challenging problem. In
Externí odkaz:
https://doaj.org/article/3fa3087859904f1cb3ec42503e8eb8b9
Autor:
Mark A. Neerincx, Willeke van Vught, Olivier Blanson Henkemans, Elettra Oleari, Joost Broekens, Rifca Peters, Frank Kaptein, Yiannis Demiris, Bernd Kiefer, Diego Fumagalli, Bert Bierman
Publikováno v:
Frontiers in Robotics and AI, Vol 6 (2019)
Social or humanoid robots do hardly show up in “the wild,” aiming at pervasive and enduring human benefits such as child health. This paper presents a socio-cognitive engineering (SCE) methodology that guides the ongoing research & development fo
Externí odkaz:
https://doaj.org/article/d5d479ae7ffb4611814833cb88ee2737
Publikováno v:
Frontiers in Neurorobotics, Vol 13 (2019)
Externí odkaz:
https://doaj.org/article/bb438080d59543dcba5157f57306db50
Autor:
Tobias Fischer, Jordi-Ysard Puigbò, Daniel Camilleri, Phuong D. H. Nguyen, Clément Moulin-Frier, Stéphane Lallée, Giorgio Metta, Tony J. Prescott, Yiannis Demiris, Paul F. M. J. Verschure
Publikováno v:
Frontiers in Robotics and AI, Vol 5 (2018)
Generating complex, human-like behavior in a humanoid robot like the iCub requires the integration of a wide range of open source components and a scalable cognitive architecture. Hence, we present the iCub-HRI library which provides convenience wrap
Externí odkaz:
https://doaj.org/article/4885a2be8f7c4fabb073b32f5f7c8b2c
Autor:
Matthew Johnson, Yiannis Demiris
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 2, Iss 4 (2008)
Robots that operate in social environments need to be able to recognise and understand the actions of other robots, and humans, in order to facilitate learning through imitation and collaboration. The success of the simulation theory approach to acti
Externí odkaz:
https://doaj.org/article/fa9c27a568104b2c9c0c33ecfba6a643
Autor:
Matthew Johnson, Yiannis Demiris
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 2 (2005)
Robots that operate in social environments need to be able to recognise and understand the actions of other robots, and humans, in order to facilitate learning through imitation and collaboration. The success of the simulation theory approach to acti
Externí odkaz:
https://doaj.org/article/b7a3733390eb479da4b988f9d0cb81e0