Exploring analysis of football actions considering correlation of joints in the body

When beginners learn football skills, they need relevant guidance by a coach. However, it is difficult for them to find a good coach. When the beginners practice repeatedly to master the skills by themselves, they often do it in wrong and inefficient manners. In addition, it takes variation in time...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Kato, K., Namiki, Y., Thepvilojanapong, N., Tetsutani, N., Ohta, Y.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 2
container_issue
container_start_page 1
container_title
container_volume
creator Kato, K.
Namiki, Y.
Thepvilojanapong, N.
Tetsutani, N.
Ohta, Y.
description When beginners learn football skills, they need relevant guidance by a coach. However, it is difficult for them to find a good coach. When the beginners practice repeatedly to master the skills by themselves, they often do it in wrong and inefficient manners. In addition, it takes variation in time for each beginner to acquire embodied knowledge of football skill. In this paper, we analyze a football player's action by using motion capture so as to quantify the difference between experts and beginners. Based on correlation of joints in the body, we present a method to analyze football skills by using a cross-correlation function.
doi_str_mv 10.1109/INSS.2012.6240563
format Conference Proceeding
fullrecord <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_6240563</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>6240563</ieee_id><sourcerecordid>6240563</sourcerecordid><originalsourceid>FETCH-LOGICAL-i90t-87447927a00d2ebaf5997f3e22c3f3f25f0c5f40cbda69f93a20d0f2c720260b3</originalsourceid><addsrcrecordid>eNpFUMFOwzAUC0KTgLEPQFzyAy0vL2nSHNE0YNIEh_U-pWkyMoVmanqgf88Gk_DBlmXLBxPywKBkDPTT-n27LREYlhIFVJJfkTsmpOJM1ZJd_xtR3ZBFzgc4QdUMGd6SZvV9jGkI_Z6a3sQph0yTpz6lsTUxUmPHkPpM7YlC536LNg2Di-YcnLuHFPox09DT8dPRNnXTPZl5E7NbXHROmpdVs3wrNh-v6-XzpggaxqJWQiiNygB06FrjK62V5w7Rcs89Vh5s5QXYtjNSe80NQgcerUJACS2fk8e_2eCc2x2H8GWGaXc5gf8AYbJRfA</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Exploring analysis of football actions considering correlation of joints in the body</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Kato, K. ; Namiki, Y. ; Thepvilojanapong, N. ; Tetsutani, N. ; Ohta, Y.</creator><creatorcontrib>Kato, K. ; Namiki, Y. ; Thepvilojanapong, N. ; Tetsutani, N. ; Ohta, Y.</creatorcontrib><description>When beginners learn football skills, they need relevant guidance by a coach. However, it is difficult for them to find a good coach. When the beginners practice repeatedly to master the skills by themselves, they often do it in wrong and inefficient manners. In addition, it takes variation in time for each beginner to acquire embodied knowledge of football skill. In this paper, we analyze a football player's action by using motion capture so as to quantify the difference between experts and beginners. Based on correlation of joints in the body, we present a method to analyze football skills by using a cross-correlation function.</description><identifier>ISBN: 1467317845</identifier><identifier>ISBN: 9781467317849</identifier><identifier>EISBN: 1467317861</identifier><identifier>EISBN: 9781467317856</identifier><identifier>EISBN: 9781467317863</identifier><identifier>EISBN: 1467317853</identifier><identifier>DOI: 10.1109/INSS.2012.6240563</identifier><language>eng</language><publisher>IEEE</publisher><subject>cross-correlation ; Embodied knowledge ; football actions ; juggling skill ; Kinect ; motion capture</subject><ispartof>2012 Ninth International Conference on Networked Sensing (INSS), 2012, p.1-2</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6240563$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6240563$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Kato, K.</creatorcontrib><creatorcontrib>Namiki, Y.</creatorcontrib><creatorcontrib>Thepvilojanapong, N.</creatorcontrib><creatorcontrib>Tetsutani, N.</creatorcontrib><creatorcontrib>Ohta, Y.</creatorcontrib><title>Exploring analysis of football actions considering correlation of joints in the body</title><title>2012 Ninth International Conference on Networked Sensing (INSS)</title><addtitle>INSS</addtitle><description>When beginners learn football skills, they need relevant guidance by a coach. However, it is difficult for them to find a good coach. When the beginners practice repeatedly to master the skills by themselves, they often do it in wrong and inefficient manners. In addition, it takes variation in time for each beginner to acquire embodied knowledge of football skill. In this paper, we analyze a football player's action by using motion capture so as to quantify the difference between experts and beginners. Based on correlation of joints in the body, we present a method to analyze football skills by using a cross-correlation function.</description><subject>cross-correlation</subject><subject>Embodied knowledge</subject><subject>football actions</subject><subject>juggling skill</subject><subject>Kinect</subject><subject>motion capture</subject><isbn>1467317845</isbn><isbn>9781467317849</isbn><isbn>1467317861</isbn><isbn>9781467317856</isbn><isbn>9781467317863</isbn><isbn>1467317853</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpFUMFOwzAUC0KTgLEPQFzyAy0vL2nSHNE0YNIEh_U-pWkyMoVmanqgf88Gk_DBlmXLBxPywKBkDPTT-n27LREYlhIFVJJfkTsmpOJM1ZJd_xtR3ZBFzgc4QdUMGd6SZvV9jGkI_Z6a3sQph0yTpz6lsTUxUmPHkPpM7YlC536LNg2Di-YcnLuHFPox09DT8dPRNnXTPZl5E7NbXHROmpdVs3wrNh-v6-XzpggaxqJWQiiNygB06FrjK62V5w7Rcs89Vh5s5QXYtjNSe80NQgcerUJACS2fk8e_2eCc2x2H8GWGaXc5gf8AYbJRfA</recordid><startdate>201206</startdate><enddate>201206</enddate><creator>Kato, K.</creator><creator>Namiki, Y.</creator><creator>Thepvilojanapong, N.</creator><creator>Tetsutani, N.</creator><creator>Ohta, Y.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201206</creationdate><title>Exploring analysis of football actions considering correlation of joints in the body</title><author>Kato, K. ; Namiki, Y. ; Thepvilojanapong, N. ; Tetsutani, N. ; Ohta, Y.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-87447927a00d2ebaf5997f3e22c3f3f25f0c5f40cbda69f93a20d0f2c720260b3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2012</creationdate><topic>cross-correlation</topic><topic>Embodied knowledge</topic><topic>football actions</topic><topic>juggling skill</topic><topic>Kinect</topic><topic>motion capture</topic><toplevel>online_resources</toplevel><creatorcontrib>Kato, K.</creatorcontrib><creatorcontrib>Namiki, Y.</creatorcontrib><creatorcontrib>Thepvilojanapong, N.</creatorcontrib><creatorcontrib>Tetsutani, N.</creatorcontrib><creatorcontrib>Ohta, Y.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Kato, K.</au><au>Namiki, Y.</au><au>Thepvilojanapong, N.</au><au>Tetsutani, N.</au><au>Ohta, Y.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Exploring analysis of football actions considering correlation of joints in the body</atitle><btitle>2012 Ninth International Conference on Networked Sensing (INSS)</btitle><stitle>INSS</stitle><date>2012-06</date><risdate>2012</risdate><spage>1</spage><epage>2</epage><pages>1-2</pages><isbn>1467317845</isbn><isbn>9781467317849</isbn><eisbn>1467317861</eisbn><eisbn>9781467317856</eisbn><eisbn>9781467317863</eisbn><eisbn>1467317853</eisbn><abstract>When beginners learn football skills, they need relevant guidance by a coach. However, it is difficult for them to find a good coach. When the beginners practice repeatedly to master the skills by themselves, they often do it in wrong and inefficient manners. In addition, it takes variation in time for each beginner to acquire embodied knowledge of football skill. In this paper, we analyze a football player's action by using motion capture so as to quantify the difference between experts and beginners. Based on correlation of joints in the body, we present a method to analyze football skills by using a cross-correlation function.</abstract><pub>IEEE</pub><doi>10.1109/INSS.2012.6240563</doi><tpages>2</tpages></addata></record>
fulltext fulltext_linktorsrc
identifier ISBN: 1467317845
ispartof 2012 Ninth International Conference on Networked Sensing (INSS), 2012, p.1-2
issn
language eng
recordid cdi_ieee_primary_6240563
source IEEE Electronic Library (IEL) Conference Proceedings
subjects cross-correlation
Embodied knowledge
football actions
juggling skill
Kinect
motion capture
title Exploring analysis of football actions considering correlation of joints in the body
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-07T12%3A23%3A23IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Exploring%20analysis%20of%20football%20actions%20considering%20correlation%20of%20joints%20in%20the%20body&rft.btitle=2012%20Ninth%20International%20Conference%20on%20Networked%20Sensing%20(INSS)&rft.au=Kato,%20K.&rft.date=2012-06&rft.spage=1&rft.epage=2&rft.pages=1-2&rft.isbn=1467317845&rft.isbn_list=9781467317849&rft_id=info:doi/10.1109/INSS.2012.6240563&rft_dat=%3Cieee_6IE%3E6240563%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=1467317861&rft.eisbn_list=9781467317856&rft.eisbn_list=9781467317863&rft.eisbn_list=1467317853&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=6240563&rfr_iscdi=true