Evidence based training in cross-country skiing: Predicting the force generated by the skier
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Typ
Examensarbete för masterexamen
Program
Publicerad
2019
Författare
Ferreira, Elijah
Modellbyggare
Tidskriftstitel
ISSN
Volymtitel
Utgivare
Sammanfattning
Evidence based training has been around for for while, where data is collected and
pre-defined measures are used to evaluate the training session. Skisens AB are presenting
new methods to evaluate a session which can be compared between sessions
in a fair way, without having outside factors influencing the results by, measuring
the force generated by the skier. Measuring the force generated involves customized
handles that changes the dimensions of the handles and in the extension the ergonomics
of the handles. This thesis aims to try to accurately predict the force
generated in each stroke from the skier, in order for Skisens AB not having to measure
the force using the customized handles.
We propose an unsupervised detection algorithm, for detecting when a stroking motion
is performed as well as a few model design for achieving the best predictive
results.