{"id":"https://openalex.org/W4387961585","doi":"https://doi.org/10.1145/3606038.3616171","title":"Automatic Edge Error Judgment in Figure Skating Using 3D Pose Estimation from a Monocular Camera and IMUs","display_name":"Automatic Edge Error Judgment in Figure Skating Using 3D Pose Estimation from a Monocular Camera and IMUs","publication_year":2023,"publication_date":"2023-10-26","ids":{"openalex":"https://openalex.org/W4387961585","doi":"https://doi.org/10.1145/3606038.3616171"},"language":"en","primary_location":{"id":"doi:10.1145/3606038.3616171","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3606038.3616171","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th International Workshop on Multimedia Content Analysis in Sports","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/A5101849188","display_name":"Ryota Tanaka","orcid":"https://orcid.org/0009-0005-1958-4442"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Ryota Tanaka","raw_affiliation_strings":["Nagoya University, Nagoya, Japan"],"affiliations":[{"raw_affiliation_string":"Nagoya University, Nagoya, Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103059984","display_name":"Tomohiro Suzuki","orcid":"https://orcid.org/0009-0005-8602-4218"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomohiro Suzuki","raw_affiliation_strings":["Nagoya University, Nagoya, Japan"],"affiliations":[{"raw_affiliation_string":"Nagoya University, Nagoya, Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042118446","display_name":"Kazuya Takeda","orcid":"https://orcid.org/0000-0002-0330-1787"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuya Takeda","raw_affiliation_strings":["Nagoya University, Nagoya, Japan"],"affiliations":[{"raw_affiliation_string":"Nagoya University, Nagoya, Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025530694","display_name":"Keisuke Fujii","orcid":"https://orcid.org/0000-0001-5487-4297"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Keisuke Fujii","raw_affiliation_strings":["Nagoya University, Nagoya, Japan"],"affiliations":[{"raw_affiliation_string":"Nagoya University, Nagoya, Japan","institution_ids":["https://openalex.org/I60134161"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101849188"],"corresponding_institution_ids":["https://openalex.org/I60134161"],"apc_list":null,"apc_paid":null,"fwci":0.7369,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.73325646,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"41","last_page":"48"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9932000041007996,"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":0.9932000041007996,"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/T11018","display_name":"Lower Extremity Biomechanics and Pathologies","score":0.9783999919891357,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12677","display_name":"Sports Dynamics and Biomechanics","score":0.9639000296592712,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8163127303123474},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7737732529640198},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7654376029968262},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.7342050075531006},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6662728786468506},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.543646514415741},{"id":"https://openalex.org/keywords/monocular-vision","display_name":"Monocular vision","score":0.5093072652816772},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.5057899951934814},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.4926159977912903},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45242536067962646},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10937905311584473}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8163127303123474},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7737732529640198},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7654376029968262},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.7342050075531006},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6662728786468506},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.543646514415741},{"id":"https://openalex.org/C158829959","wikidata":"https://www.wikidata.org/wiki/Q1640606","display_name":"Monocular vision","level":2,"score":0.5093072652816772},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.5057899951934814},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.4926159977912903},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45242536067962646},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10937905311584473},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3606038.3616171","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3606038.3616171","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th International Workshop on Multimedia Content Analysis in Sports","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":20,"referenced_works":["https://openalex.org/W2087617234","https://openalex.org/W2101032778","https://openalex.org/W2260521078","https://openalex.org/W2905550006","https://openalex.org/W2962896489","https://openalex.org/W2963876278","https://openalex.org/W3021466767","https://openalex.org/W3034558177","https://openalex.org/W3034772044","https://openalex.org/W3035714233","https://openalex.org/W3115837726","https://openalex.org/W3157575394","https://openalex.org/W3193654597","https://openalex.org/W3201425641","https://openalex.org/W3205518262","https://openalex.org/W3210072454","https://openalex.org/W4200176196","https://openalex.org/W4292828942","https://openalex.org/W4298130053","https://openalex.org/W4317418726"],"related_works":["https://openalex.org/W3213997683","https://openalex.org/W4307623796","https://openalex.org/W2995270189","https://openalex.org/W4394784820","https://openalex.org/W2536898772","https://openalex.org/W2084124712","https://openalex.org/W2435467664","https://openalex.org/W2091635186","https://openalex.org/W4381188157","https://openalex.org/W4251947321"],"abstract_inverted_index":{"Automatic":[0],"evaluating":[1,17],"systems":[2],"are":[3],"fundamental":[4],"issues":[5],"in":[6,33],"sports":[7],"technologies.":[8],"In":[9,36],"many":[10],"sports,":[11],"such":[12],"as":[13,99],"figure":[14,143],"skating,":[15],"automated":[16],"methods":[18],"based":[19],"on":[20],"pose":[21],"estimation":[22],"have":[23,29],"been":[24],"proposed.":[25],"However,":[26],"previous":[27],"studies":[28],"evaluated":[30],"skaters'":[31,111],"skills":[32],"2D":[34],"analysis.":[35],"this":[37],"paper,":[38],"we":[39],"propose":[40],"an":[41],"automatic":[42],"edge":[43,121,136],"error":[44,63,122],"judgment":[45],"system":[46],"with":[47],"a":[48],"monocular":[49,97,129],"smartphone":[50],"camera":[51,98,130],"and":[52,72,152],"inertial":[53],"sensors,":[54],"which":[55],"enable":[56],"us":[57],"to":[58,75,79,134],"analyze":[59],"3D":[60,81,90],"motions.":[61],"Edge":[62],"is":[64,73],"one":[65],"of":[66],"the":[67,87,96,100,104,116,128,142],"most":[68],"significant":[69],"scoring":[70],"items":[71],"challenging":[74],"automatically":[76],"judge":[77,135],"due":[78],"its":[80],"motion.":[82],"The":[83],"results":[84,125],"show":[85],"that":[86,127],"model":[88],"using":[89],"joint":[91],"position":[92],"coordinates":[93],"estimated":[94],"from":[95],"input":[101],"feature":[102],"had":[103],"highest":[105],"accuracy":[106],"at":[107,154],"83%":[108],"for":[109,120],"unknown":[110],"data.":[112],"We":[113,139],"also":[114],"analyzed":[115],"detailed":[117],"motion":[118],"analysis":[119],"judgment.":[123],"These":[124],"indicate":[126],"can":[131],"be":[132],"used":[133],"errors":[137],"automatically.":[138],"will":[140],"provide":[141],"skating":[144],"single":[145],"Lutz":[146],"jump":[147],"dataset,":[148],"including":[149],"pre-processed":[150],"videos":[151],"labels":[153],"https://github.com/ryota-takedalab/JudgeAI-LutzEdge.":[155]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}