↓ Direkt till sidans innehåll
↓ Direkt till sidans sekundära innehåll (sidomenyn)

Träfflista för sökning "WFRF:(Simms R.) srt2:(2020-2024)"

Search: WFRF:(Simms R.) > (2020-2024)

Result 1-5 of 5

Sort/group result

Sort by: Hits per page:

Enumeration	Reference	Cover	Find
1.	Niemi, MEK, et al. (author) 2021 swepub:Mat__t
2.	Kanai, M, et al. (author) 2023 swepub:Mat__t
3.	Landi, MT, et al. (author) Genome-wide association meta-analyses combining multiple risk phenotypes provide insights into the genetic architecture of cutaneous melanoma susceptibility 2020 In: Nature genetics. - : Springer Science and Business Media LLC. - 1546-1718 .- 1061-4036. ; 52:5, s. 494- Journal article (peer-reviewed)
4.	Dube, U, et al. (author) Overlapping genetic architecture between Parkinson disease and melanoma 2020 In: Acta neuropathologica. - : Springer Science and Business Media LLC. - 1432-0533 .- 0001-6322. ; 139:2, s. 347-364 Journal article (peer-reviewed)
5.	Gildea, Kevin, et al. (author) Forward dynamics computational modelling of a cyclist fall with the inclusion of protective response using deep learning-based human pose estimation 2024 In: Journal of Biomechanics. - 0021-9290. ; 163 Journal article (peer-reviewed)abstract Single bicycle crashes, i.e., falls and impacts not involving a collision with another road user, are a significantly underestimated road safety problem. The motions and behaviours of falling people, or fall kinematics, are often investigated in the injury biomechanics research field. Understanding the mechanics of a fall can help researchers develop better protective gear and safety measures to reduce the risk of injury. However, little is known about cyclist fall kinematics or dynamics. Therefore, in this study, a video analysis of cyclist falls is performed to investigate common kinematic forms and impact patterns. Furthermore, a pipeline involving deep learning-based human pose estimation and inverse kinematics optimisation is created for extracting human motion from real-world footage of falls to initialise forward dynamics computational human body models. A bracing active response is then optimised for using a genetic algorithm. This is then applied to a case study of a cyclist fall. The kinematic forms characterised in this study can be used to inform initial conditions for computational modelling and injury estimation in cyclist falls. Findings indicate that protective response is an important consideration in fall kinematics and dynamics, and should be included in computational modelling. Furthermore, the novel reconstruction pipeline proposed here can be applied more broadly for traumatic injury biomechanics tasks. The tool developed in this study is available at https://kevgildea.github.io/KinePose/kevgildea.github.io/KinePose/.

Skapa referenser, mejla, bekava och länka

Permalink

Result 1-5 of 5

Refine your search

Type of publication: journal article (3)

Type of content: peer-reviewed (3)

Author/Editor: Brown, J. (2); Clark, A. (2); Cole, S. (2); Davies, M. (2); Endo, M. (2); Erdmann, J. (2); show more...; Fox, H. (2); Hasegawa, Y. (2); Hughes, G. (2); Jackson, M. (2); Jackson, P. (2); Karthik, K. (2); Lee, H. (2); Lewis, A. (2); Maeno, T. (2); Saleem, M. (2); Suzuki, Y. (2); Walker, R. (2); White, S. (2); Williams, S. (2); Wilson, A. (2); Wright, M. (2); Wu, Y. (2); Yamada, M. (2); Nagata, K. (2); Davidson, N. (2); Dobson, E. (2); Harvey, A. (2); Lange, C. (2); Oliveira, M. (2); Rose, A. (2); Davies, E. (2); Grau, N. (2); Haider, S. (2); Tokunaga, K. (2); Suzuki, S (2); Gupta, A. (2); Robinson, M. (2); Dennis, C. (2); Marshall, R. (2); Smith, M. (2); Martin, J. (2); Mbarek, H (2); Davies, G (2); Harris, C (2); Kumar, S (2); Brown, A. (2); Brown, E. (2); Clark, M. (2); Olsson, H. (2); show less...

University: Karolinska Institutet (3); Lund University (2)

Language: English (5)

Research subject (UKÄ/SCB): Engineering and Technology (1); Medical and Health Sciences (1)

Year

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

Copyright © LIBRIS - National Library Systems
LIBRIS.kb.se

pil uppåt

Close

Copy and save the link in order to return to this view