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deep learning
machine learning
pole vaulters
motion
learning
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http://www.yso.fi/onto/yso/p39324
http://www.yso.fi/onto/yso/p21846
http://www.yso.fi/onto/yso/p17014
http://www.yso.fi/onto/yso/p706
http://www.yso.fi/onto/yso/p2945
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Outinen, Pietari
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Liikuntatieteellinen tiedekunta
Faculty of Sport and Health Sciences
Liikunta- ja terveystieteet
Sport and Health Sciences
Jyväskylän yliopisto
University of Jyväskylä
Biomekaniikka
Biomechanics
5012
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Outinen, Pietari
Liikuntatieteellinen tiedekunta
Faculty of Sport and Health Sciences
Liikunta- ja terveystieteet
Sport and Health Sciences
Jyväskylän yliopisto
University of Jyväskylä
Biomekaniikka
Biomechanics
5012
Outinen, Pietari
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Outinen, Pietari
Determining the relationship between run-up and take-off characteristics and performance in top level pole vaulters using deep learning based markerless motion capture
biomechanical analysis
biomekaaninen analyysi
markerless
deep learning
syväoppiminen
seiväshyppääjät
biomekaniikka
seiväshyppy
pole vaulters
biomechanics
pole vault
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Biomekaniikka
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https://jyu.finna.fi/Cover/Show?source=Solr&id=jyx.123456789_75388&index=0&size=large
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| title |
Determining the relationship between run-up and take-off characteristics and performance in top level pole vaulters using deep learning based markerless motion capture
|
| title_full |
Determining the relationship between run-up and take-off characteristics and performance in top level pole vaulters using deep learning based markerless motion capture
|
| title_fullStr |
Determining the relationship between run-up and take-off characteristics and performance in top level pole vaulters using deep learning based markerless motion capture
Determining the relationship between run-up and take-off characteristics and performance in top level pole vaulters using deep learning based markerless motion capture
|
| title_full_unstemmed |
Determining the relationship between run-up and take-off characteristics and performance in top level pole vaulters using deep learning based markerless motion capture
Determining the relationship between run-up and take-off characteristics and performance in top level pole vaulters using deep learning based markerless motion capture
|
| title_short |
Determining the relationship between run-up and take-off characteristics and performance in top level pole vaulters using deep learning based markerless motion capture
|
| title_sort |
determining the relationship between run up and take off characteristics and performance in top level pole vaulters using deep learning based markerless motion capture
|
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Determining the relationship between run-up and take-off characteristics and performance in top level pole vaulters using deep learning based markerless motion capture
|
| topic |
biomechanical analysis
biomekaaninen analyysi
markerless
deep learning
syväoppiminen
seiväshyppääjät
biomekaniikka
seiväshyppy
pole vaulters
biomechanics
pole vault
|
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biomechanical analysis
biomechanics
biomekaaninen analyysi
biomekaniikka
deep learning
markerless
pole vault
pole vaulters
seiväshyppy
seiväshyppääjät
syväoppiminen
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http://www.urn.fi/URN:NBN:fi:jyu-202105102682
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