Predictive Models in Biomechanics

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Abstrakt

This paper investigates the opportunity of predictive musculoskeletal models that do not require experimental input of kinematics and ground reaction forces. First, the requirements of such models are reviewed and, subsequent-ly, an example model of running is derived by means of principal component analysis. The generation of different running styles using the model is demonstrated, and we conclude that this type of models has the potential to predict motion behavior given shallow input describing the individual.
OriginalsprogEngelsk
TitelBiomechanics in Medicine and Biology : Proceedings of the International Conference of the Polish Society of Biomechanics, Zielona Góra, Poland, September 5-7, 2018
RedaktørerKatarzyna Arkusz, Romuald Bedzinski, Tomasz Klekiel, Szczepan Piszczatowski
Antal sider9
ForlagSpringer
Publikationsdato5 sep. 2018
Udgave1
Sider98 - 106
ISBN (Trykt)978-3-319-97285-5
ISBN (Elektronisk)978-3-319-97286-2
DOI
StatusUdgivet - 5 sep. 2018
BegivenhedInternational Conference of the Polish Society of Biomechanics - Zielona Góra, Polen
Varighed: 5 sep. 20187 sep. 2018

Konference

KonferenceInternational Conference of the Polish Society of Biomechanics
LandPolen
ByZielona Góra
Periode05/09/201807/09/2018
NavnAdvances in Intelligent Systems and Computing
Vol/bind831
ISSN2194-5357

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Citationsformater

Rasmussen, J. (2018). Predictive Models in Biomechanics. I K. Arkusz, R. Bedzinski, T. Klekiel, & S. Piszczatowski (red.), Biomechanics in Medicine and Biology: Proceedings of the International Conference of the Polish Society of Biomechanics, Zielona Góra, Poland, September 5-7, 2018 (1 udg., s. 98 - 106). Springer. Advances in Intelligent Systems and Computing, Bind. 831 https://doi.org/10.1007/978-3-319-97286-2_9