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...
Gespeichert in:
Hauptverfasser: | , , , , |
---|---|
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 |