{"id":"https://openalex.org/W2981269666","doi":"https://doi.org/10.1145/3347318.3355523","title":"Prediction of Future Shot Direction using Pose and Position of Tennis Player","display_name":"Prediction of Future Shot Direction using Pose and Position of Tennis Player","publication_year":2019,"publication_date":"2019-10-15","ids":{"openalex":"https://openalex.org/W2981269666","doi":"https://doi.org/10.1145/3347318.3355523","mag":"2981269666"},"language":"en","primary_location":{"id":"doi:10.1145/3347318.3355523","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3347318.3355523","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings Proceedings of the 2nd 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/A5016807224","display_name":"Tomohiro Shimizu","orcid":"https://orcid.org/0000-0001-6760-3066"},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Tomohiro Shimizu","raw_affiliation_strings":["Keio University, Kanagawa, Japan"],"affiliations":[{"raw_affiliation_string":"Keio University, Kanagawa, Japan","institution_ids":["https://openalex.org/I203951103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020411666","display_name":"Ryo Hachiuma","orcid":"https://orcid.org/0000-0001-8274-3710"},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ryo Hachiuma","raw_affiliation_strings":["Keio University, Kanagawa, Japan"],"affiliations":[{"raw_affiliation_string":"Keio University, Kanagawa, Japan","institution_ids":["https://openalex.org/I203951103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005819073","display_name":"Hideo Sait\u00f4","orcid":"https://orcid.org/0000-0002-2421-9862"},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hideo Saito","raw_affiliation_strings":["Keio University, Kanagawa, Japan"],"affiliations":[{"raw_affiliation_string":"Keio University, Kanagawa, Japan","institution_ids":["https://openalex.org/I203951103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084793247","display_name":"Takashi Yoshikawa","orcid":"https://orcid.org/0000-0001-9551-3703"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takashi Yoshikawa","raw_affiliation_strings":["Osaka University, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Osaka University, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045429861","display_name":"Chonho Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Chonho Lee","raw_affiliation_strings":["Osaka University, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Osaka University, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5016807224"],"corresponding_institution_ids":["https://openalex.org/I203951103"],"apc_list":null,"apc_paid":null,"fwci":0.6073,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.72781727,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"59","last_page":"66"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9988999962806702,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9988999962806702,"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/T12677","display_name":"Sports Dynamics and Biomechanics","score":0.9983000159263611,"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/T11674","display_name":"Sports Analytics and Performance","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.9403226375579834},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8256969451904297},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.725310742855072},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.7218478918075562},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.643028974533081},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5984414219856262},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5890581011772156},{"id":"https://openalex.org/keywords/one-shot","display_name":"One shot","score":0.5817579627037048},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5444023609161377},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3525813817977905},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07466796040534973}],"concepts":[{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.9403226375579834},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8256969451904297},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.725310742855072},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.7218478918075562},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.643028974533081},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5984414219856262},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5890581011772156},{"id":"https://openalex.org/C2992734406","wikidata":"https://www.wikidata.org/wiki/Q413267","display_name":"One shot","level":2,"score":0.5817579627037048},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5444023609161377},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3525813817977905},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07466796040534973},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3347318.3355523","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3347318.3355523","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings Proceedings of the 2nd 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/W1522301498","https://openalex.org/W1686810756","https://openalex.org/W1861492603","https://openalex.org/W1971687548","https://openalex.org/W2064675550","https://openalex.org/W2095193483","https://openalex.org/W2108598243","https://openalex.org/W2110049245","https://openalex.org/W2117359243","https://openalex.org/W2137567308","https://openalex.org/W2159546866","https://openalex.org/W2177478906","https://openalex.org/W2557321428","https://openalex.org/W2559085405","https://openalex.org/W2599657169","https://openalex.org/W2609825896","https://openalex.org/W2806679646","https://openalex.org/W2890957154","https://openalex.org/W2892191144","https://openalex.org/W2963287896"],"related_works":["https://openalex.org/W2497720472","https://openalex.org/W4292659306","https://openalex.org/W3044321615","https://openalex.org/W2806221744","https://openalex.org/W2326937258","https://openalex.org/W394267150","https://openalex.org/W2773965352","https://openalex.org/W4294892107","https://openalex.org/W4404320418","https://openalex.org/W2357748469"],"abstract_inverted_index":{"In":[0,127],"this":[1],"paper,":[2],"we":[3,26,55,69,80,130,156],"propose":[4,70,81],"a":[5,14,36,50,71,82],"method":[6,72,83],"to":[7,73,84,108,120,161],"predict":[8,85,152],"the":[9,76,86,91,109,114,122,128,132,140,143,163],"future":[10,87,153],"shot":[11,43,62,77,88,95,135,154],"direction":[12,44,63,89,96,136],"in":[13],"tennis":[15,52],"match":[16,53],"using":[17,49,90,99],"pose":[18,105],"information":[19,106],"and":[20,61,113,138],"player":[21,115],"position.":[22,116],"As":[23],"far":[24],"as":[25,46],"know,":[27],"there":[28,40,147],"is":[29,41,97],"no":[30,42,149],"work":[31],"that":[32,151],"deals":[33],"with":[34],"such":[35],"predictive":[37],"task,":[38],"so":[39],"dataset":[45],"yet.":[47],"Therefore,":[48],"YouTube":[51],"video,":[54],"construct":[56],"an":[57],"time":[58,110],"of":[59,111,124,134,142,165],"impact":[60,112],"dataset.":[64,93],"To":[65],"reduce":[66],"annotation":[67],"costs,":[68],"automatically":[74],"label":[75],"direction.":[78],"Moreover,":[79],"constructed":[92],"The":[94],"predicted":[98],"LSTM(long":[100],"short-time":[101],"memory),":[102],"from":[103],"sequential":[104],"up":[107],"We":[117],"employ":[118],"OpenPose":[119],"extract":[121],"position":[123],"skeleton":[125],"joints.":[126],"experiment,":[129],"evaluate":[131,162],"accuracy":[133],"prediction":[137],"verify":[139],"effectiveness":[141,164],"proposed":[144,167],"method.":[145,168],"Since":[146],"are":[148],"studies":[150],"direction,":[155],"set":[157],"four":[158],"baseline":[159],"methods":[160],"our":[166]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
