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Detection of changes in movement patterns of runners

Bolten, M.M. (2021) Detection of changes in movement patterns of runners.

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Abstract:Running is a popular sport, but has also a high injury risk. To prevent injuries, analyzing movement patterns of runners is useful and in this article different statistical methodologies to analyze movement patterns are discussed. Three statistical methodologies, confidence bands, two-sample t-test and bootstrap based testing are tested on synthetic data and time series data of the knee angle during running. Two groups are used, in a non-fatigued and fatigued state. The statistical methodology with confidence bands was not able to detect differences in time series of the knee angle while the two-sample t-test and bootstrap based test were. Both the two-sample t-test and the bootstrap-based test are good tests to measure for a difference in the movement patterns of the knee between a non-fatigued and fatigued runner. The bootstrap-based test is the better one, because this test has the highest power and considers the whole trajectory instead of single points.
Item Type:Essay (Bachelor)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:31 mathematics
Programme:Applied Mathematics BSc (56965)
Link to this item:http://purl.utwente.nl/essays/86782
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