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Concurrent validity and reliability of a time of-flight camera on measuring muscle’s mechanical properties during sprint running
Umeå University, Faculty of Medicine, Department of Community Medicine and Rehabilitation, Section of Sports Medicine.
2019 (English)Independent thesis Advanced level (degree of Master (One Year)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Recent advancements in 3D data gathering have made it possible to measure the distance to an object at different time stamps through the use of time-of-flight cameras. Therefore, the purpose of this study was to investigate the validity and reliability of a time-of-flight camera on different mechanical sprint properties of the muscle.

Fifteen male football players performed four 30m maximal sprint bouts which was simultaneously recorded with a time-of-flight camera and 1080 sprint device. By using an exponential function on the collected positional- and velocity-time data from both the devices, following variables were derived and analyzed: Maximal velocity (nmax), time constant (t), theoretical maximal force (F0), theoretical maximal velocity (V0), peak power output (Pmax), F-V mechanical profile (Sfv) and decrease in ratio of force (Drf).

The results showed strong correlation in vmax along with a fairly small standard error of estimate (SEE) (r = 0,817, SEE = 0,27 m/s), while t displayed moderate correlation and relatively high SEE (r = 0,620, SEE = 0,12 s). Furthermore, moderate mean bias (>5%) were revealed for most of the variables, except for vmax and V0. The within-sessions reliability using Intraclass correlation coefficient (ICC) and standard error of measurement (SEM) ranged from excellent to poor with Pmax displaying excellent reliability (ICC = 0,91, SEM = 72W), while vmax demonstrated moderate reliability (ICC = 0,61, SEM = 0,26 m/s) and t poor(ICC = 0,44, SEM = 0,11 s).

In conclusion, these findings showed that in its current state, the time-of-flight camera is not a reliable or valid device in estimating different mechanical properties of the muscle during sprint running using Samozino et al’s computations. Further development is needed.

Place, publisher, year, edition, pages
2019. , p. 29
Keywords [en]
Depth camera, 3D camera, Biomechanics, Acceleration, 1080 sprint
National Category
Sport and Fitness Sciences
Identifiers
URN: urn:nbn:se:umu:diva-163191OAI: oai:DiVA.org:umu-163191DiVA, id: diva2:1350303
External cooperation
Photon Sports
Educational program
Master program in Sports Medicine
Supervisors
Examiners
Available from: 2019-09-16 Created: 2019-09-11 Last updated: 2019-09-16Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • de-DE
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  • Other locale
More languages
Output format
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