Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Temitayo A. Olugbade"'
Publikováno v:
Frontiers in Public Health, Vol 4 (2015)
BACKGROUND Movement is an important aspect of life: it enables social interactions, household activities, employment, and physical fitness. In chronic musculoskeletal pain (CMP)–a prevalent medical condition where pain persists in the absence of ti
Externí odkaz:
https://doaj.org/article/5c97fa56fc7048229fbd25cc6a17d3e7
Autor:
Radoslaw Niewiadomski, Erica Volta, Joseph W. Newbold, Gualtiero Volpe, Rose Johnson, Temitayo A. Olugbade, Max Dillon, Paolo Alborno, Nadia Bianchi-Berthouze
Publikováno v:
IEEE Transactions on Affective Computing. 13:944-957
For technology (like serious games) that aims to deliver interactive learning, it is important to address relevant mental experiences such as reflective thinking during problem solving. To facilitate research in this direction, we present the weDraw-
Autor:
Chongyang Wang, Nadia Bianchi-Berthouze, Amanda C. de C. Williams, Nicholas D. Lane, Akhil Mathur, Temitayo A. Olugbade
Publikováno v:
ACM Transactions on Computing for Healthcare
In chronic pain rehabilitation, physiotherapists adapt physical activity to patients' performance based on their expression of protective behavior, gradually exposing them to feared but harmless and essential everyday activities. As rehabilitation mo
Publikováno v:
IEEE Transactions on Affective Computing. 11:214-229
Clinicians tailor intervention in chronic pain rehabilitation to movement related self-efficacy (MRSE). This motivates us to investigate automatic MRSE estimation in this context towards the development of technology that is able to provide appropria
Autor:
Zak Morgan, Temitayo A. Olugbade, Youngjun Cho, Mohamed Abd El Ghani, Nadia Bianchi-Berthouze
Publikováno v:
ACII
Comfort is a subjective experience that people attend to in everyday life including in cars where they are constrained in movement. Could intelligent cars sense their comfort levels for the purpose of maximizing it? To address this, first, we present
Autor:
M.S.H. Aung, Temitayo A. Olugbade, Nicolai Marquardt, Amanda C de C Williams, Aneesha Singh, Nadia Bianchi-Berthouze
Publikováno v:
ACM Transactions on Computer-Human Interaction. 26:1-29
Although clinical best practice suggests that affect awareness could enable more effective technological support for physical rehabilitation through personalisation to psychological needs, designers need to consider what affective states matter, and
Autor:
Antonio Camurri, Stefan Janaqi, Marta Bienkiewicz, Andrii P. Smykovskyi, Temitayo A. Olugbade, Benoît G. Bardy, Mårten Björkman, Nadia Bianchi-Berthouze
Publikováno v:
Neuroscience & Biobehavioral Reviews
Neuroscience & Biobehavioral Reviews, Oxford: Elsevier Ltd., 2021, 131, pp.806-833. ⟨10.1016/j.neubiorev.2021.08.014⟩
Neuroscience & Biobehavioral Reviews, Oxford: Elsevier Ltd., 2021, 131, pp.806-833. ⟨10.1016/j.neubiorev.2021.08.014⟩
Our daily human life is filled with a myriad of joint action moments, be it children playing, adults working together (i.e., team sports), or strangers navigating through a crowd. Joint action brings individuals (and embodiment of their emotions) tog
Publikováno v:
ICMI Companion
Companion Publication of the 2020 International Conference on Multimodal Interaction
Companion Publication of the 2020 International Conference on Multimodal Interaction
The use of multiple clocks has been a favoured approach to modelling the multiple timescales of sequential data. Previous work based on clocks and multi-timescale studies in general have not clearly accounted for multidimensionality of data such that
Publikováno v:
ICMI
Proceedings of the 2020 International Conference on Multimodal Interaction
Proceedings of the 2020 International Conference on Multimodal Interaction
We propose a novel neural network architecture, named the Global Workspace Network (GWN), which addresses the challenge of dynamic and unspecified uncertainties in multimodal data fusion. Our GWN is a model of attention across modalities and evolving
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e6cd7ddebe5f02e41875a04928a9941
http://arxiv.org/abs/2001.09485
http://arxiv.org/abs/2001.09485
Autor:
Hongying Meng, Nicholas D. Lane, Siyang Song, Nadia Bianchi-Berthouze, Chongyang Wang, M.S.H. Aung, Temitayo A. Olugbade, Amanda C. de C. Williams, Michel Valstar, Joy Egede
Publikováno v:
FG
The EmoPain 2020 Challenge is the first international competition aimed at creating a uniform platform for the comparison of machine learning and multimedia processing methods of automatic chronic pain assessment from human expressive behaviour, and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::36b335a614615546f689f0d717b0c1f0
http://bura.brunel.ac.uk/handle/2438/20503
http://bura.brunel.ac.uk/handle/2438/20503