{"id":"https://openalex.org/W2043341752","doi":"https://doi.org/10.1109/sii.2012.6427295","title":"A model to output optimal degrees of emphasis for teaching motion according to initial performance of human-learners-an empirically obtained model for robotic motion coaching system","display_name":"A model to output optimal degrees of emphasis for teaching motion according to initial performance of human-learners-an empirically obtained model for robotic motion coaching system","publication_year":2012,"publication_date":"2012-12-01","ids":{"openalex":"https://openalex.org/W2043341752","doi":"https://doi.org/10.1109/sii.2012.6427295","mag":"2043341752"},"language":"en","primary_location":{"id":"doi:10.1109/sii.2012.6427295","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sii.2012.6427295","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE/SICE International Symposium on System Integration (SII)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067144837","display_name":"Keisuke Okuno","orcid":null},"institutions":[{"id":"https://openalex.org/I4210148705","display_name":"Institute of Systems, Information Technologies and Nanotechnologies","ror":"https://ror.org/04j4pme17","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210148705"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Keisuke Okuno","raw_affiliation_strings":["Institute of Systems, Information Technologies and Nanotechnologies, Fukuoka, Japan","Institute of Systems, Information Technologies and Nanotechnologies (ISIT). Fukuoka SRP Center Building 7F, 2-1-22, Momochihama, Sawara-ku, 814-0001, JAPAN"],"affiliations":[{"raw_affiliation_string":"Institute of Systems, Information Technologies and Nanotechnologies, Fukuoka, Japan","institution_ids":["https://openalex.org/I4210148705"]},{"raw_affiliation_string":"Institute of Systems, Information Technologies and Nanotechnologies (ISIT). Fukuoka SRP Center Building 7F, 2-1-22, Momochihama, Sawara-ku, 814-0001, JAPAN","institution_ids":["https://openalex.org/I4210148705"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002322874","display_name":"Tetsunari Inamura","orcid":"https://orcid.org/0000-0002-0028-6438"},"institutions":[{"id":"https://openalex.org/I200475212","display_name":"The Graduate University for Advanced Studies, SOKENDAI","ror":"https://ror.org/0516ah480","country_code":"JP","type":"education","lineage":["https://openalex.org/I200475212"]},{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tetsunari Inamura","raw_affiliation_strings":["National Institute of Informatics (NII), The Graduate University for Advanced Studies (SOKENDAI), Chiyoda, Tokyo, Japan","National Institute of Informatics (NII) / The Graduate University for Advanced Studies (SOKENDAI). Hitotsubashi 2-1-2, Chiyoda-ku, Tokyo, 101-8430, Japan"],"affiliations":[{"raw_affiliation_string":"National Institute of Informatics (NII), The Graduate University for Advanced Studies (SOKENDAI), Chiyoda, Tokyo, Japan","institution_ids":["https://openalex.org/I184597095","https://openalex.org/I200475212"]},{"raw_affiliation_string":"National Institute of Informatics (NII) / The Graduate University for Advanced Studies (SOKENDAI). Hitotsubashi 2-1-2, Chiyoda-ku, Tokyo, 101-8430, Japan","institution_ids":["https://openalex.org/I200475212"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5067144837"],"corresponding_institution_ids":["https://openalex.org/I4210148705"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.11495977,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"35","issue":null,"first_page":"916","last_page":"920"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/coaching","display_name":"Coaching","score":0.8825273513793945},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.8435261249542236},{"id":"https://openalex.org/keywords/emphasis","display_name":"Emphasis (telecommunications)","score":0.7696390151977539},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6713706254959106},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5176382660865784},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4578408896923065},{"id":"https://openalex.org/keywords/degree","display_name":"Degree (music)","score":0.44322431087493896},{"id":"https://openalex.org/keywords/dynamics","display_name":"Dynamics (music)","score":0.42580994963645935},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1236199140548706}],"concepts":[{"id":"https://openalex.org/C2779363792","wikidata":"https://www.wikidata.org/wiki/Q1104185","display_name":"Coaching","level":2,"score":0.8825273513793945},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.8435261249542236},{"id":"https://openalex.org/C177454536","wikidata":"https://www.wikidata.org/wiki/Q578290","display_name":"Emphasis (telecommunications)","level":2,"score":0.7696390151977539},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6713706254959106},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5176382660865784},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4578408896923065},{"id":"https://openalex.org/C2775997480","wikidata":"https://www.wikidata.org/wiki/Q586277","display_name":"Degree (music)","level":2,"score":0.44322431087493896},{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.42580994963645935},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1236199140548706},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sii.2012.6427295","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sii.2012.6427295","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE/SICE International Symposium on System Integration (SII)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6299999952316284,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1490321952","https://openalex.org/W1582098259","https://openalex.org/W1966441013","https://openalex.org/W2033159471","https://openalex.org/W2065178260","https://openalex.org/W2079103478","https://openalex.org/W2102515918","https://openalex.org/W2108131333","https://openalex.org/W2128103053","https://openalex.org/W2130726249","https://openalex.org/W2136851074","https://openalex.org/W2144997471","https://openalex.org/W2147496707","https://openalex.org/W2156491217","https://openalex.org/W3110683067","https://openalex.org/W3139771484","https://openalex.org/W4285719527","https://openalex.org/W6634865365","https://openalex.org/W6786768871"],"related_works":["https://openalex.org/W2055105357","https://openalex.org/W2153819599","https://openalex.org/W2255426644","https://openalex.org/W2072124641","https://openalex.org/W2167093538","https://openalex.org/W2018956713","https://openalex.org/W2081479354","https://openalex.org/W2113107605","https://openalex.org/W1929120455","https://openalex.org/W2753556613"],"abstract_inverted_index":{"Slight":[0],"differences":[1,35,140],"between":[2,141],"a":[3,56,80,97,142],"learning":[4,27,81,98,143],"target":[5,82,99,144],"motion":[6,44,57,83,92,109,145],"and":[7,146,170,183],"motions":[8,64,74,163,197],"performed":[9,91],"by":[10,24,93,112],"learners":[11,16,25,94],"are":[12,22,75,110],"not":[13,38],"easy":[14],"for":[15,26,126,176,193],"to":[17,66,86,96,123,134,137,202],"recognize,":[18],"when":[19],"some":[20],"adjustments":[21],"needed":[23],"motions.":[28],"To":[29],"assist":[30,135],"human-learners":[31,136,175],"recognize":[32,138],"the":[33,51,106,127,158],"slight":[34,139],"in":[36,84,132,151],"motions,":[37],"only":[39],"symbolic":[40],"expressions":[41],"but":[42],"also":[43],"display":[45],"plays":[46],"very":[47],"important":[48],"role.":[49],"In":[50],"previous":[52],"work,":[53],"we":[54,154],"proposed":[55],"coaching":[58,118],"system":[59,119,160],"that":[60,77,187],"dynamically":[61,71,107,194],"modify":[62],"displaying":[63,73,196],"according":[65,201],"performance":[67,204],"of":[68,90,103,105,129,148,168,174,180,191,205],"human-learners.":[69,149,206],"The":[70,116],"modified":[72,108,195],"such":[76],"they":[78],"emphasize":[79],"direction":[85],"supplement":[87],"missing":[88],"elements":[89],"compared":[95],"motion.":[100],"However,":[101],"degree":[102,128,167,190],"emphasis":[104,130,169,192],"given":[111],"an":[113,188],"preliminary":[114],"experiment.":[115],"robotic":[117,159],"should":[120],"be":[121,199],"able":[122],"make":[124],"decision":[125],"dynamically,":[131],"order":[133],"performances":[147,173],"Thus,":[150],"this":[152],"paper,":[153],"conduct":[155],"experiments":[156],"where":[157],"coaches":[161],"humans":[162],"with":[164],"many":[165],"different":[166],"record":[171],"resulting":[172],"each":[177],"cases.":[178],"Analysis":[179],"experimental":[181],"results":[182],"obtained":[184],"model":[185],"suggest":[186],"optimal":[189],"can":[198],"decided":[200],"initial":[203]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}