{"id":"https://openalex.org/W4404478841","doi":"https://doi.org/10.1145/3696952.3696982","title":"Data-Driven Tennis Strategy Evaluation through Hierarchical Markov Models","display_name":"Data-Driven Tennis Strategy Evaluation through Hierarchical Markov Models","publication_year":2024,"publication_date":"2024-11-18","ids":{"openalex":"https://openalex.org/W4404478841","doi":"https://doi.org/10.1145/3696952.3696982"},"language":"en","primary_location":{"id":"doi:10.1145/3696952.3696982","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3696952.3696982","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 9th International Conference on Intelligent Information Processing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3696952.3696982","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058787442","display_name":"Xiaohu Fan","orcid":"https://orcid.org/0000-0002-0440-696X"},"institutions":[{"id":"https://openalex.org/I14116566","display_name":"Wuhan Polytechnic University","ror":"https://ror.org/05w0e5j23","country_code":"CN","type":"education","lineage":["https://openalex.org/I14116566"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaohu Fan","raw_affiliation_strings":["Wuhan City Polytechnic, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"Wuhan City Polytechnic, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I14116566"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100670511","display_name":"Zhi Li","orcid":"https://orcid.org/0000-0002-9416-5927"},"institutions":[{"id":"https://openalex.org/I14116566","display_name":"Wuhan Polytechnic University","ror":"https://ror.org/05w0e5j23","country_code":"CN","type":"education","lineage":["https://openalex.org/I14116566"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi Li","raw_affiliation_strings":["Wuhan City Polytechnic, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"Wuhan City Polytechnic, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I14116566"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072897972","display_name":"Xining Zhang","orcid":"https://orcid.org/0009-0008-8420-8437"},"institutions":[{"id":"https://openalex.org/I14116566","display_name":"Wuhan Polytechnic University","ror":"https://ror.org/05w0e5j23","country_code":"CN","type":"education","lineage":["https://openalex.org/I14116566"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinye Zhang","raw_affiliation_strings":["Wuhan City Polytechnic, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"Wuhan City Polytechnic, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I14116566"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070884647","display_name":"Rui Yang","orcid":"https://orcid.org/0009-0009-5183-8990"},"institutions":[{"id":"https://openalex.org/I14116566","display_name":"Wuhan Polytechnic University","ror":"https://ror.org/05w0e5j23","country_code":"CN","type":"education","lineage":["https://openalex.org/I14116566"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Yang","raw_affiliation_strings":["Wuhan City Polytechnic, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"Wuhan City Polytechnic, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I14116566"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102055697","display_name":"H. Tan","orcid":null},"institutions":[{"id":"https://openalex.org/I14116566","display_name":"Wuhan Polytechnic University","ror":"https://ror.org/05w0e5j23","country_code":"CN","type":"education","lineage":["https://openalex.org/I14116566"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huarui Tan","raw_affiliation_strings":["Wuhan City Polytechnic, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"Wuhan City Polytechnic, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I14116566"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113406770","display_name":"Yiyang Chen","orcid":"https://orcid.org/0009-0003-4151-6708"},"institutions":[{"id":"https://openalex.org/I4210100789","display_name":"Wuhan College","ror":"https://ror.org/01dashf18","country_code":"CN","type":"nonprofit","lineage":["https://openalex.org/I4210100789"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiyang Chen","raw_affiliation_strings":["Wuhan College, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"Wuhan College, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I4210100789"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103876048","display_name":"Chuang Wang","orcid":"https://orcid.org/0009-0009-1845-5250"},"institutions":[{"id":"https://openalex.org/I4210100789","display_name":"Wuhan College","ror":"https://ror.org/01dashf18","country_code":"CN","type":"nonprofit","lineage":["https://openalex.org/I4210100789"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuang Wang","raw_affiliation_strings":["Wuhan College, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"Wuhan College, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I4210100789"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062471456","display_name":"Qing Hui Liu","orcid":"https://orcid.org/0009-0006-4932-0496"},"institutions":[{"id":"https://openalex.org/I4210130811","display_name":"Rajamangala University of Technology Tawan-ok","ror":"https://ror.org/03cvxzw02","country_code":"TH","type":"education","lineage":["https://openalex.org/I10245363","https://openalex.org/I4210130811"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Qing Liu","raw_affiliation_strings":["Rajamangala University of Technology Tawan-Ok, Bangkok, Bangkok, Thailand"],"affiliations":[{"raw_affiliation_string":"Rajamangala University of Technology Tawan-Ok, Bangkok, Bangkok, Thailand","institution_ids":["https://openalex.org/I4210130811"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5058787442"],"corresponding_institution_ids":["https://openalex.org/I14116566"],"apc_list":null,"apc_paid":null,"fwci":2.2593,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.92470611,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"219","last_page":"225"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11674","display_name":"Sports Analytics and Performance","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T11674","display_name":"Sports Analytics and Performance","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T10157","display_name":"Sports Performance and Training","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/2732","display_name":"Orthopedics and Sports Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12677","display_name":"Sports Dynamics and Biomechanics","score":0.9502000212669373,"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/computer-science","display_name":"Computer science","score":0.699105978012085},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.6071646809577942},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.4706608057022095},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.4383411407470703},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4199336767196655},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.30182990431785583},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12764662504196167},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08341699838638306}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.699105978012085},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.6071646809577942},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.4706608057022095},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.4383411407470703},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4199336767196655},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30182990431785583},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12764662504196167},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08341699838638306}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3696952.3696982","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3696952.3696982","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 9th International Conference on Intelligent Information Processing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3696952.3696982","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3696952.3696982","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 9th International Conference on Intelligent Information Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2786648002","https://openalex.org/W2994643663","https://openalex.org/W3000260932","https://openalex.org/W3019986960","https://openalex.org/W3020626653","https://openalex.org/W3027038927","https://openalex.org/W3037102731","https://openalex.org/W3190084677","https://openalex.org/W3197102024","https://openalex.org/W3204457198","https://openalex.org/W4205183153","https://openalex.org/W4205465415","https://openalex.org/W4210282996","https://openalex.org/W4223982956","https://openalex.org/W4399767785","https://openalex.org/W4399768073","https://openalex.org/W6771906192","https://openalex.org/W7020746639"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"This":[0],"study":[1],"introduces":[2],"a":[3,76,89],"novel":[4],"methodology":[5],"for":[6],"evaluating":[7],"tennis":[8,110],"player":[9,80,117],"performance":[10,120],"through":[11,95],"the":[12,21,26,34,47,52,61,107],"application":[13],"of":[14,37,60,72,92,109],"Hierarchical":[15],"Markov":[16],"Models":[17],"(HMM).":[18],"By":[19],"dissecting":[20],"game's":[22],"flow":[23],"and":[24,39,55,87,119],"modeling":[25],"transitions":[27,56],"between":[28],"states,":[29],"our":[30],"proposed":[31],"model":[32,51],"captures":[33],"intricate":[35],"interplay":[36],"short-term":[38],"long-term":[40],"dependencies":[41],"that":[42,101],"characterize":[43],"match":[44,73,93],"dynamics.":[45],"Utilizing":[46],"HMM":[48],"framework,":[49],"we":[50],"scoring":[53],"sequences":[54],"across":[57],"various":[58],"levels":[59],"game,":[62],"ranging":[63],"from":[64],"individual":[65],"points":[66],"to":[67],"entire":[68],"matches.":[69],"Our":[70],"analysis":[71],"data":[74],"unveils":[75],"nuanced":[77],"perspective":[78],"on":[79],"performance,":[81],"pinpointing":[82],"critical":[83],"junctures":[84],"within":[85],"matches":[86],"offering":[88],"visual":[90],"representation":[91],"progression":[94],"directed":[96],"graphs.":[97],"The":[98],"findings":[99],"demonstrate":[100],"HMMs":[102],"are":[103],"adept":[104],"at":[105],"encapsulating":[106],"complexities":[108],"matches,":[111],"thereby":[112],"providing":[113],"fresh":[114],"insights":[115],"into":[116],"strategies":[118],"metrics.":[121]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}