{"id":"https://openalex.org/W3110799812","doi":"https://doi.org/10.1109/smc42975.2020.9283160","title":"Real-time Snowboard Training System for a Novice Using Visual and Auditory Feedback","display_name":"Real-time Snowboard Training System for a Novice Using Visual and Auditory Feedback","publication_year":2020,"publication_date":"2020-10-11","ids":{"openalex":"https://openalex.org/W3110799812","doi":"https://doi.org/10.1109/smc42975.2020.9283160","mag":"3110799812"},"language":"en","primary_location":{"id":"doi:10.1109/smc42975.2020.9283160","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc42975.2020.9283160","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5068914527","display_name":"Takashi Kuwahara","orcid":null},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takashi Kuwahara","raw_affiliation_strings":["Ph.D. Program in Empowerment Informatics, School of Integrative and Global Majors, University of Tsukuba, Ibaraki, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ph.D. Program in Empowerment Informatics, School of Integrative and Global Majors, University of Tsukuba, Ibaraki, Japan","institution_ids":["https://openalex.org/I146399215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027754411","display_name":"Itsuki Takahashi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Itsuki Takahashi","raw_affiliation_strings":["Independent, Ibaraki, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Independent, Ibaraki, Japan","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078104781","display_name":"Shintaro Harikae","orcid":null},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shintaro Harikae","raw_affiliation_strings":["Graduate School of Systems and Information Engineering, University of Tsukuba, Ibaraki, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Systems and Information Engineering, University of Tsukuba, Ibaraki, Japan","institution_ids":["https://openalex.org/I146399215"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2742,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.48379254,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"4230","last_page":"4235"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10914","display_name":"Tactile and Sensory Interactions","score":0.9778000116348267,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10914","display_name":"Tactile and Sensory Interactions","score":0.9778000116348267,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9750000238418579,"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/T11431","display_name":"Action Observation and Synchronization","score":0.9715999960899353,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/auditory-feedback","display_name":"Auditory feedback","score":0.8122154474258423},{"id":"https://openalex.org/keywords/visual-feedback","display_name":"Visual feedback","score":0.7134785652160645},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6709195375442505},{"id":"https://openalex.org/keywords/transfer","display_name":"Transfer (computing)","score":0.4530094563961029},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.449465811252594},{"id":"https://openalex.org/keywords/training-system","display_name":"Training system","score":0.44697535037994385},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.4252600073814392},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3664626479148865},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34207963943481445},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1674904227256775}],"concepts":[{"id":"https://openalex.org/C2779864741","wikidata":"https://www.wikidata.org/wiki/Q4820027","display_name":"Auditory feedback","level":2,"score":0.8122154474258423},{"id":"https://openalex.org/C3020716817","wikidata":"https://www.wikidata.org/wiki/Q4132092","display_name":"Visual feedback","level":2,"score":0.7134785652160645},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6709195375442505},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.4530094563961029},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.449465811252594},{"id":"https://openalex.org/C2776857766","wikidata":"https://www.wikidata.org/wiki/Q7832987","display_name":"Training system","level":2,"score":0.44697535037994385},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4252600073814392},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3664626479148865},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34207963943481445},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1674904227256775},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","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/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc42975.2020.9283160","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc42975.2020.9283160","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1608174790","https://openalex.org/W1982734415","https://openalex.org/W1983992580","https://openalex.org/W2014979832","https://openalex.org/W2024928351","https://openalex.org/W2027740961","https://openalex.org/W2029654180","https://openalex.org/W2032635843","https://openalex.org/W2039975805","https://openalex.org/W2052282747","https://openalex.org/W2056771075","https://openalex.org/W2072464426","https://openalex.org/W2099061939","https://openalex.org/W2115225291","https://openalex.org/W2117916152","https://openalex.org/W2128018947","https://openalex.org/W2129419038","https://openalex.org/W2135715728","https://openalex.org/W2140555382","https://openalex.org/W2146928477","https://openalex.org/W2146951640","https://openalex.org/W2171644790","https://openalex.org/W2416998987","https://openalex.org/W2466021945","https://openalex.org/W2739664235","https://openalex.org/W6680762690"],"related_works":["https://openalex.org/W2003077720","https://openalex.org/W2024921842","https://openalex.org/W2009221248","https://openalex.org/W2051096450","https://openalex.org/W3110799812","https://openalex.org/W2032047480","https://openalex.org/W2130320064","https://openalex.org/W2184622916","https://openalex.org/W2118661981","https://openalex.org/W2752524271"],"abstract_inverted_index":{"In":[0,60,159],"snowboard":[1,69,165],"training,":[2],"it":[3],"is":[4,207],"especially":[5],"important":[6],"to":[7,13,122,126,136,211],"learn":[8],"proper":[9,184],"weight":[10,41,144,185],"transfer":[11],"and":[12,21,34,49,54,65,77,80,85,135,152,157,173,176,199,204],"perceive":[14],"a":[15,67,73,98,106,111,163,169],"gap":[16],"between":[17],"the":[18,22,35,47,124,132,138,150,183,194,208],"perceived":[19],"movement":[20],"actual":[23],"body":[24],"movement.":[25],"However,":[26],"previous":[27],"training":[28,70,166],"systems":[29],"don't":[30],"have":[31],"sufficient":[32],"function,":[33],"effectiveness":[36,86,139,195],"of":[37,87,94,100,140,196],"each":[38,88,141,197],"feedback":[39,113,118,142,175,201,206],"on":[40,143],"transfer,":[42,145],"which":[43,146],"includes":[44,147],"not":[45,57,148],"only":[46,149],"front":[48,151],"back":[50,153],"but":[51,154],"also":[52,155],"left":[53,156],"right":[55],"has":[56],"been":[58],"reported.":[59],"this":[61],"study,":[62],"we":[63,161,191],"propose":[64],"develop":[66],"real-time":[68,164],"system":[71,91,134,167,180],"for":[72,168],"novice":[74,170],"using":[75,131,171],"visual":[76,112,172,200,203],"auditory":[78,117,174,205],"feedback,":[79,198],"confirm":[81,123],"its":[82],"basic":[83],"performance":[84],"feedback.":[89],"This":[90],"mainly":[92],"consists":[93],"four":[95],"components:":[96],"(1)":[97],"center":[99],"pressure":[101],"(COP)":[102],"detection":[103],"device,":[104,109,114],"(2)":[105],"posture":[107],"estimation":[108],"(3)":[110],"(4)":[115],"an":[116],"device.":[119],"We":[120],"experimented":[121],"feasibility":[125],"enhance":[127,212],"motor":[128,213],"learning":[129],"by":[130],"developed":[133,162],"evaluate":[137],"right.":[158],"conclusion,":[160],"confirmed":[177,192],"that":[178,193],"our":[179],"could":[181],"assist":[182],"transfer.":[186],"Furthermore,":[187],"in":[188],"short-term":[189],"learning,":[190],"or":[202],"best":[209],"way":[210],"learning.":[214]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}