Deep learning in gait analysis : the effect of marker presence in neural network training to kinematic outcomes

Deep learning in gait analysis the effect of marker presence in neural network training to kinematic outcomes

Bibliographic Details
Main Author: Uitto, Roope
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:
syväoppiminen
luotettavuus
liikeoppi
liikeanalyysi
deep learning
reliability (general)
kinematics
motion analysis
Online Access: https://jyx.jyu.fi/handle/123456789/77355
_version_ 1809901060876140544
annif_keywords_txtF_mv neural networks (information technology) machine learning deep learning kinematics walking (motion)
annif_uris_txtF_mv http://www.yso.fi/onto/yso/p7292 http://www.yso.fi/onto/yso/p21846 http://www.yso.fi/onto/yso/p39324 http://www.yso.fi/onto/yso/p16028 http://www.yso.fi/onto/yso/p3706
author Uitto, Roope
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 Uitto, Roope Liikuntatieteellinen tiedekunta Faculty of Sport and Health Sciences Liikunta- ja terveystieteet Sport and Health Sciences Jyväskylän yliopisto University of Jyväskylä Biomekaniikka Biomechanics 5012 Uitto, Roope
author_sort Uitto, Roope
building Jyväskylän yliopisto JYX-julkaisuarkisto
datasource_str_mv jyx
department_txtF Liikunta- ja terveystieteet
faculty_txtF Liikuntatieteellinen tiedekunta
first_indexed 2021-08-12T20:02:35Z
format Pro gradu
format_ext_str_mv Opinnäyte Pro gradu
free_online_boolean 1
fullrecord <?xml version="1.0"?> <qualifieddc schemaLocation="http://purl.org/dc/terms/ http://dublincore.org/schemas/xmls/qdc/2006/01/06/dcterms.xsd http://purl.org/dc/elements/1.1/ http://dublincore.org/schemas/xmls/qdc/2006/01/06/dc.xsd"><title>Deep learning in gait analysis : the effect of marker presence in neural network training to kinematic outcomes</title><creator>Uitto, Roope</creator><contributor type="tiedekunta" lang="fi">Liikuntatieteellinen tiedekunta</contributor><contributor type="tiedekunta" lang="en">Faculty of Sport and Health Sciences</contributor><contributor type="laitos" lang="fi">Liikunta- ja terveystieteet</contributor><contributor type="laitos" lang="en">Sport and Health Sciences</contributor><contributor type="yliopisto" lang="fi">Jyv&#xE4;skyl&#xE4;n yliopisto</contributor><contributor type="yliopisto" lang="en">University of Jyv&#xE4;skyl&#xE4;</contributor><contributor type="oppiaine" lang="fi">Biomekaniikka</contributor><contributor type="oppiaine" lang="en">Biomechanics</contributor><contributor type="oppiainekoodi">5012</contributor><subject type="yso">syv&#xE4;oppiminen</subject><subject type="yso">luotettavuus</subject><subject type="yso">liikeoppi</subject><subject type="yso">liikeanalyysi</subject><subject type="yso">deep learning</subject><subject type="yso">reliability (general)</subject><subject type="yso">kinematics</subject><subject type="yso">motion analysis</subject><available>2021-08-12T06:08:29Z</available><issued>2021</issued><type lang="fi">Pro gradu -tutkielma</type><type lang="en">Master&#x2019;s thesis</type><identifier type="uri">https://jyx.jyu.fi/handle/123456789/77355</identifier><identifier type="urn">URN:NBN:fi:jyu-202108124521</identifier><language type="iso">en</language><rights type="copyright" lang="fi">Julkaisu on tekij&#xE4;noikeuss&#xE4;&#xE4;nn&#xF6;sten alainen. Teosta voi lukea ja tulostaa henkil&#xF6;kohtaista k&#xE4;ytt&#xF6;&#xE4; varten. K&#xE4;ytt&#xF6; kaupallisiin tarkoituksiin on kielletty.</rights><rights type="copyright" lang="en">This publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited.</rights><permaddress type="urn">http://www.urn.fi/URN:NBN:fi:jyu-202108124521</permaddress><file bundle="ORIGINAL" href="https://jyx.jyu.fi/bitstream/123456789/77355/1/URN%3aNBN%3afi%3ajyu-202108124521.pdf" name="URN:NBN:fi:jyu-202108124521.pdf" type="application/pdf" length="4136737" sequence="1"/><recordID>123456789_77355</recordID></qualifieddc>
id jyx.123456789_77355
language eng
last_indexed 2024-09-03T10:49:34Z
main_date 2021-01-01T00:00:00Z
main_date_str 2021
online_boolean 1
online_urls_str_mv {"url":"https:\/\/jyx.jyu.fi\/bitstream\/123456789\/77355\/1\/URN%3aNBN%3afi%3ajyu-202108124521.pdf","text":"URN:NBN:fi:jyu-202108124521.pdf","source":"jyx","mediaType":"application\/pdf"}
oppiainekoodi_txtF 5012
publication_first_indexed 2021-08-12T20:02:35Z
publishDate 2021
record_format qdc
source_str_mv jyx
spellingShingle Uitto, Roope Deep learning in gait analysis : the effect of marker presence in neural network training to kinematic outcomes syväoppiminen luotettavuus liikeoppi liikeanalyysi deep learning reliability (general) kinematics motion analysis
subject_txtF Biomekaniikka
thumbnail https://jyu.finna.fi/Cover/Show?source=Solr&id=jyx.123456789_77355&index=0&size=large
title Deep learning in gait analysis : the effect of marker presence in neural network training to kinematic outcomes
title_full Deep learning in gait analysis : the effect of marker presence in neural network training to kinematic outcomes
title_fullStr Deep learning in gait analysis : the effect of marker presence in neural network training to kinematic outcomes Deep learning in gait analysis : the effect of marker presence in neural network training to kinematic outcomes
title_full_unstemmed Deep learning in gait analysis : the effect of marker presence in neural network training to kinematic outcomes Deep learning in gait analysis : the effect of marker presence in neural network training to kinematic outcomes
title_short Deep learning in gait analysis
title_sort deep learning in gait analysis the effect of marker presence in neural network training to kinematic outcomes
title_sub the effect of marker presence in neural network training to kinematic outcomes
title_txtP Deep learning in gait analysis : the effect of marker presence in neural network training to kinematic outcomes
topic syväoppiminen luotettavuus liikeoppi liikeanalyysi deep learning reliability (general) kinematics motion analysis
topic_facet deep learning kinematics liikeanalyysi liikeoppi luotettavuus motion analysis reliability (general) syväoppiminen
url https://jyx.jyu.fi/handle/123456789/77355 http://www.urn.fi/URN:NBN:fi:jyu-202108124521
work_keys_str_mv AT uittoroope deeplearningingaitanalysistheeffectofmarkerpresenceinneuralnetworktrainingtokinematic

Similar Items