Between- and within-day repeatability of markerless 2D motion analysis using deep neural networks
The purpose of this study was to evaluate kinematic analysis repeatability by deep learning approach in countermovement jump. Seventy athletes (39 women, 31 men) performed two maximal countermovement jumps in either one session or two separate sessions (jumps separated by two-weeks). The jumps were...
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| Muut tekijät: | , , , , , |
| Aineistotyyppi: | Pro gradu |
| Kieli: | eng |
| Julkaistu: |
2021
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| Aiheet: | |
| Linkit: | https://jyx.jyu.fi/handle/123456789/77969 |