Loading…

Sports Training Support Method by Self-Coaching with Humanoid Robot

This paper proposes a new training support method called self-coaching with humanoid robots. In the proposed method, two small size inexpensive humanoid robots are used because of their availability. One robot called target robot reproduces motion of a target player and another robot called referenc...

Full description

Saved in:
Bibliographic Details
Published in:Journal of physics. Conference series 2016-09, Vol.744 (1), p.12033
Main Authors: Toyama, S, Ikeda, F, Yasaka, T
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites cdi_FETCH-LOGICAL-c425t-9fdbb4b0751a43aefb19e8dcfc8b283ea6e2769dbaaaded31988830c5d95754b3
container_end_page
container_issue 1
container_start_page 12033
container_title Journal of physics. Conference series
container_volume 744
creator Toyama, S
Ikeda, F
Yasaka, T
description This paper proposes a new training support method called self-coaching with humanoid robots. In the proposed method, two small size inexpensive humanoid robots are used because of their availability. One robot called target robot reproduces motion of a target player and another robot called reference robot reproduces motion of an expert player. The target player can recognize a target technique from the reference robot and his her inadequate skill from the target robot. Modifying the motion of the target robot as self-coaching, the target player could get advanced cognition. Some experimental results show some possibility as the new training method and some issues of the self-coaching interface program as a future work.
doi_str_mv 10.1088/1742-6596/744/1/012033
format article
fullrecord <record><control><sourceid>proquest_iop_j</sourceid><recordid>TN_cdi_proquest_journals_2575193134</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2575193134</sourcerecordid><originalsourceid>FETCH-LOGICAL-c425t-9fdbb4b0751a43aefb19e8dcfc8b283ea6e2769dbaaaded31988830c5d95754b3</originalsourceid><addsrcrecordid>eNqFkE1LxDAQhoMouK7-BQl48lCbr7bpUYq6iqLY9RySJnG77DY1aZH997ZUVgTB0wwzzzsDDwDnGF1hxHmMM0aiNMnTOGMsxjHCBFF6AGb7xeG-5_wYnISwRgNBaTYDRdk63wW49LJu6uYdln07TuCT6VZOQ7WDpdnYqHCyWo37z7pbwUW_lY2rNXx1ynWn4MjKTTBn33UO3m5vlsUieny-uy-uH6OKkaSLcquVYgplCZaMSmMVzg3Xla24IpwamRqSpblWUkptNMU555yiKtF5kiVM0Tm4mO623n30JnRi7XrfDC8FGQicU0zZQKUTVXkXgjdWtL7eSr8TGIlRmBhdiNGLGIQJLCZhQ5BMwdq1P5f_DV3-EXp4KcpfnGi1pV_O2XpL</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2575193134</pqid></control><display><type>article</type><title>Sports Training Support Method by Self-Coaching with Humanoid Robot</title><source>Publicly Available Content Database</source><source>Free Full-Text Journals in Chemistry</source><creator>Toyama, S ; Ikeda, F ; Yasaka, T</creator><creatorcontrib>Toyama, S ; Ikeda, F ; Yasaka, T</creatorcontrib><description>This paper proposes a new training support method called self-coaching with humanoid robots. In the proposed method, two small size inexpensive humanoid robots are used because of their availability. One robot called target robot reproduces motion of a target player and another robot called reference robot reproduces motion of an expert player. The target player can recognize a target technique from the reference robot and his her inadequate skill from the target robot. Modifying the motion of the target robot as self-coaching, the target player could get advanced cognition. Some experimental results show some possibility as the new training method and some issues of the self-coaching interface program as a future work.</description><identifier>ISSN: 1742-6588</identifier><identifier>EISSN: 1742-6596</identifier><identifier>DOI: 10.1088/1742-6596/744/1/012033</identifier><language>eng</language><publisher>Bristol: IOP Publishing</publisher><subject>Cognition ; Humanoid ; Physics ; Robot dynamics ; Robots ; Training</subject><ispartof>Journal of physics. Conference series, 2016-09, Vol.744 (1), p.12033</ispartof><rights>Published under licence by IOP Publishing Ltd</rights><rights>2016. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c425t-9fdbb4b0751a43aefb19e8dcfc8b283ea6e2769dbaaaded31988830c5d95754b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2575193134?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,25732,27903,27904,36991,44569</link.rule.ids></links><search><creatorcontrib>Toyama, S</creatorcontrib><creatorcontrib>Ikeda, F</creatorcontrib><creatorcontrib>Yasaka, T</creatorcontrib><title>Sports Training Support Method by Self-Coaching with Humanoid Robot</title><title>Journal of physics. Conference series</title><addtitle>J. Phys.: Conf. Ser</addtitle><description>This paper proposes a new training support method called self-coaching with humanoid robots. In the proposed method, two small size inexpensive humanoid robots are used because of their availability. One robot called target robot reproduces motion of a target player and another robot called reference robot reproduces motion of an expert player. The target player can recognize a target technique from the reference robot and his her inadequate skill from the target robot. Modifying the motion of the target robot as self-coaching, the target player could get advanced cognition. Some experimental results show some possibility as the new training method and some issues of the self-coaching interface program as a future work.</description><subject>Cognition</subject><subject>Humanoid</subject><subject>Physics</subject><subject>Robot dynamics</subject><subject>Robots</subject><subject>Training</subject><issn>1742-6588</issn><issn>1742-6596</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><recordid>eNqFkE1LxDAQhoMouK7-BQl48lCbr7bpUYq6iqLY9RySJnG77DY1aZH997ZUVgTB0wwzzzsDDwDnGF1hxHmMM0aiNMnTOGMsxjHCBFF6AGb7xeG-5_wYnISwRgNBaTYDRdk63wW49LJu6uYdln07TuCT6VZOQ7WDpdnYqHCyWo37z7pbwUW_lY2rNXx1ynWn4MjKTTBn33UO3m5vlsUieny-uy-uH6OKkaSLcquVYgplCZaMSmMVzg3Xla24IpwamRqSpblWUkptNMU555yiKtF5kiVM0Tm4mO623n30JnRi7XrfDC8FGQicU0zZQKUTVXkXgjdWtL7eSr8TGIlRmBhdiNGLGIQJLCZhQ5BMwdq1P5f_DV3-EXp4KcpfnGi1pV_O2XpL</recordid><startdate>20160901</startdate><enddate>20160901</enddate><creator>Toyama, S</creator><creator>Ikeda, F</creator><creator>Yasaka, T</creator><general>IOP Publishing</general><scope>O3W</scope><scope>TSCCA</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>H8D</scope><scope>HCIFZ</scope><scope>L7M</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope></search><sort><creationdate>20160901</creationdate><title>Sports Training Support Method by Self-Coaching with Humanoid Robot</title><author>Toyama, S ; Ikeda, F ; Yasaka, T</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c425t-9fdbb4b0751a43aefb19e8dcfc8b283ea6e2769dbaaaded31988830c5d95754b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Cognition</topic><topic>Humanoid</topic><topic>Physics</topic><topic>Robot dynamics</topic><topic>Robots</topic><topic>Training</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Toyama, S</creatorcontrib><creatorcontrib>Ikeda, F</creatorcontrib><creatorcontrib>Yasaka, T</creatorcontrib><collection>Open Access: IOP Publishing Free Content</collection><collection>IOPscience (Open Access)</collection><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Aerospace Database</collection><collection>SciTech Premium Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>Journal of physics. Conference series</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Toyama, S</au><au>Ikeda, F</au><au>Yasaka, T</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Sports Training Support Method by Self-Coaching with Humanoid Robot</atitle><jtitle>Journal of physics. Conference series</jtitle><addtitle>J. Phys.: Conf. Ser</addtitle><date>2016-09-01</date><risdate>2016</risdate><volume>744</volume><issue>1</issue><spage>12033</spage><pages>12033-</pages><issn>1742-6588</issn><eissn>1742-6596</eissn><abstract>This paper proposes a new training support method called self-coaching with humanoid robots. In the proposed method, two small size inexpensive humanoid robots are used because of their availability. One robot called target robot reproduces motion of a target player and another robot called reference robot reproduces motion of an expert player. The target player can recognize a target technique from the reference robot and his her inadequate skill from the target robot. Modifying the motion of the target robot as self-coaching, the target player could get advanced cognition. Some experimental results show some possibility as the new training method and some issues of the self-coaching interface program as a future work.</abstract><cop>Bristol</cop><pub>IOP Publishing</pub><doi>10.1088/1742-6596/744/1/012033</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1742-6588
ispartof Journal of physics. Conference series, 2016-09, Vol.744 (1), p.12033
issn 1742-6588
1742-6596
language eng
recordid cdi_proquest_journals_2575193134
source Publicly Available Content Database; Free Full-Text Journals in Chemistry
subjects Cognition
Humanoid
Physics
Robot dynamics
Robots
Training
title Sports Training Support Method by Self-Coaching with Humanoid Robot
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-25T22%3A16%3A39IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_iop_j&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Sports%20Training%20Support%20Method%20by%20Self-Coaching%20with%20Humanoid%20Robot&rft.jtitle=Journal%20of%20physics.%20Conference%20series&rft.au=Toyama,%20S&rft.date=2016-09-01&rft.volume=744&rft.issue=1&rft.spage=12033&rft.pages=12033-&rft.issn=1742-6588&rft.eissn=1742-6596&rft_id=info:doi/10.1088/1742-6596/744/1/012033&rft_dat=%3Cproquest_iop_j%3E2575193134%3C/proquest_iop_j%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c425t-9fdbb4b0751a43aefb19e8dcfc8b283ea6e2769dbaaaded31988830c5d95754b3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2575193134&rft_id=info:pmid/&rfr_iscdi=true