Between- and within-day repeatability of markerless 2D motion analysis using deep neural networks

Between- and within-day repeatability of markerless 2D motion analysis using deep neural networks

Bibliographic Details
Main Author: Romppanen, Vesa
Other Authors: Liikuntatieteellinen tiedekunta, Faculty of Sport and Health Sciences, Liikunta- ja terveystieteet, Sport and Health Sciences, Jyväskylän yliopisto, University of Jyväskylä, Biomekaniikka, Biomechanics, 5012
Format: Master's thesis
Language:eng
Published: 2021
Subjects:
markerless
countermovement jump
deeplabcut
toistettavuus
syväoppiminen
koneoppiminen
biomekaniikka
nivelet
liikeanalyysi
hyppääminen
liikeoppi
algoritmit
repeatability
deep learning
machine learning
biomechanics
joints (musculoskeletal system)
motion analysis
jumping
kinematics
algorithms
Online Access: https://jyx.jyu.fi/handle/123456789/77969
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author Romppanen, Vesa
author2 Liikuntatieteellinen tiedekunta Faculty of Sport and Health Sciences Liikunta- ja terveystieteet Sport and Health Sciences Jyväskylän yliopisto University of Jyväskylä Biomekaniikka Biomechanics 5012
author_facet Romppanen, Vesa Liikuntatieteellinen tiedekunta Faculty of Sport and Health Sciences Liikunta- ja terveystieteet Sport and Health Sciences Jyväskylän yliopisto University of Jyväskylä Biomekaniikka Biomechanics 5012 Romppanen, Vesa
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spellingShingle Romppanen, Vesa Between- and within-day repeatability of markerless 2D motion analysis using deep neural networks markerless countermovement jump deeplabcut toistettavuus syväoppiminen koneoppiminen biomekaniikka nivelet liikeanalyysi hyppääminen liikeoppi algoritmit repeatability deep learning machine learning biomechanics joints (musculoskeletal system) motion analysis jumping kinematics algorithms
subject_txtF Biomekaniikka
thumbnail https://jyu.finna.fi/Cover/Show?source=Solr&id=jyx.123456789_77969&index=0&size=large
title Between- and within-day repeatability of markerless 2D motion analysis using deep neural networks
title_full Between- and within-day repeatability of markerless 2D motion analysis using deep neural networks
title_fullStr Between- and within-day repeatability of markerless 2D motion analysis using deep neural networks Between- and within-day repeatability of markerless 2D motion analysis using deep neural networks
title_full_unstemmed Between- and within-day repeatability of markerless 2D motion analysis using deep neural networks Between- and within-day repeatability of markerless 2D motion analysis using deep neural networks
title_short Between- and within-day repeatability of markerless 2D motion analysis using deep neural networks
title_sort between and within day repeatability of markerless 2d motion analysis using deep neural networks
title_txtP Between- and within-day repeatability of markerless 2D motion analysis using deep neural networks
topic markerless countermovement jump deeplabcut toistettavuus syväoppiminen koneoppiminen biomekaniikka nivelet liikeanalyysi hyppääminen liikeoppi algoritmit repeatability deep learning machine learning biomechanics joints (musculoskeletal system) motion analysis jumping kinematics algorithms
topic_facet algorithms algoritmit biomechanics biomekaniikka countermovement jump deep learning deeplabcut hyppääminen joints (musculoskeletal system) jumping kinematics koneoppiminen liikeanalyysi liikeoppi machine learning markerless motion analysis nivelet repeatability syväoppiminen toistettavuus
url https://jyx.jyu.fi/handle/123456789/77969 http://www.urn.fi/URN:NBN:fi:jyu-202109305033
work_keys_str_mv AT romppanenvesa betweenandwithindayrepeatabilityofmarkerless2dmotionanalysisusingdeepneuralnetwork

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