{"id":"https://openalex.org/W7224533982","doi":"https://doi.org/10.5281/zenodo.23754712","title":"Application of Artificial Intelligence in Sports Performance Analysis","display_name":"Application of Artificial Intelligence in Sports Performance Analysis","publication_year":2026,"publication_date":"2026-10-31","ids":{"openalex":"https://openalex.org/W7224533982","doi":"https://doi.org/10.5281/zenodo.23754712"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.23754712","doi":"https://doi.org/10.5281/zenodo.23754712","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.23754712","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"JournalArticle"},"volume":null,"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.23754712","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5160092457","display_name":"Ramdas R. Jadhav","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jadhav, Ramdas R.","raw_affiliation_strings":["Director  & Head, Dept. of Physical Education & Sports,  Rajarshi Shahu Arts, Commerce & Science College Pathri,  Ta. Phulambri, Dist. Chhatrapati Sambhajinagar (MS), India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Director  & Head, Dept. of Physical Education & Sports,  Rajarshi Shahu Arts, Commerce & Science College Pathri,  Ta. Phulambri, Dist. Chhatrapati Sambhajinagar (MS), India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5160092457"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.86456418,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10157","display_name":"Sports Performance and Training","score":0.46779999136924744,"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"}},"topics":[{"id":"https://openalex.org/T10157","display_name":"Sports Performance and Training","score":0.46779999136924744,"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/T13904","display_name":"Artificial Intelligence Applications","score":0.12880000472068787,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.09849999845027924,"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-in-sports","display_name":"artificial intelligence in sports","score":0.9819999933242798},{"id":"https://openalex.org/keywords/sports-performance-analysis","display_name":"sports performance analysis","score":0.9980000257492065},{"id":"https://openalex.org/keywords/athlete-monitoring","display_name":"athlete monitoring","score":0.6890000104904175},{"id":"https://openalex.org/keywords/automatic-video-analysis","display_name":"automated video analysis","score":0.7149999737739563},{"id":"https://openalex.org/keywords/wearable-devices","display_name":"wearable devices","score":0.8479999899864197},{"id":"https://openalex.org/keywords/predictive-analytics","display_name":"predictive analytics","score":0.6990000009536743},{"id":"https://openalex.org/keywords/talent-identification","display_name":"talent identification","score":0.7329999804496765},{"id":"https://openalex.org/keywords/performance-prediction","display_name":"performance prediction","score":0.7409999966621399},{"id":"https://openalex.org/keywords/training-program-design","display_name":"training program design","score":0.6359999775886536},{"id":"https://openalex.org/keywords/injury-risk","display_name":"injury risk","score":0.8029999732971191},{"id":"https://openalex.org/keywords/sports-recovery","display_name":"athlete recovery","score":0.6000000238418579},{"id":"https://openalex.org/keywords/data-quality","display_name":"data quality","score":0.4880000054836273},{"id":"https://openalex.org/keywords/algorithmic-bias","display_name":"algorithmic bias","score":0.8569999933242798},{"id":"https://openalex.org/keywords/ai-ethics","display_name":"AI ethics","score":0.671999990940094}],"concepts":[{"id":"https://openalex.org/C2781054738","wikidata":"https://www.wikidata.org/wiki/Q4813730","display_name":"Athletes","level":2,"score":0.6568999886512756},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5914000272750854},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.5192000269889832},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5127000212669373},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5005999803543091},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.4291999936103821},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4163999855518341},{"id":"https://openalex.org/C157170001","wikidata":"https://www.wikidata.org/wiki/Q4781507","display_name":"Applications of artificial intelligence","level":2,"score":0.38190001249313354},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.36809998750686646},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.36500000953674316},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.2989000082015991},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.29739999771118164},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.2921000123023987},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2581000030040741},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2574000060558319},{"id":"https://openalex.org/C33313701","wikidata":"https://www.wikidata.org/wiki/Q1298380","display_name":"Sports science","level":2,"score":0.25450000166893005}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.5281/zenodo.23754712","doi":"https://doi.org/10.5281/zenodo.23754712","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.23754712","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"JournalArticle"},{"id":"doi:10.5281/zenodo.23754713","doi":"https://doi.org/10.5281/zenodo.23754713","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.23754713","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"JournalArticle"},{"id":"doi:10.5281/zenodo.23831402","doi":"https://doi.org/10.5281/zenodo.23831402","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.23831402","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"JournalArticle"},{"id":"doi:10.5281/zenodo.23831403","doi":"https://doi.org/10.5281/zenodo.23831403","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.23831403","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"JournalArticle"},{"id":"doi:10.5281/zenodo.23881918","doi":"https://doi.org/10.5281/zenodo.23881918","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.23881918","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"JournalArticle"},{"id":"doi:10.5281/zenodo.23881919","doi":"https://doi.org/10.5281/zenodo.23881919","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.23881919","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"JournalArticle"}],"best_oa_location":{"id":"doi:10.5281/zenodo.23754712","doi":"https://doi.org/10.5281/zenodo.23754712","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.23754712","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"JournalArticle"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7204274829","https://openalex.org/W4410293342","https://openalex.org/W4411465860","https://openalex.org/W7128309989","https://openalex.org/W7138048598","https://openalex.org/W7167518659","https://openalex.org/W4415651654","https://openalex.org/W7140132778","https://openalex.org/W4404099516","https://openalex.org/W4400577983"],"abstract_inverted_index":{"Abstract:":[0],"AI":[1,112,143,168],"is":[2],"increasingly":[3],"playing":[4],"a":[5,70],"significant":[6],"role":[7],"in":[8,116,144,169,179],"sports":[9,25,170],"today,":[10],"and":[11,20,27,36,61,83,92,108,119,130,153,183,185,189],"it's":[12],"transforming":[13],"the":[14,103,164],"way":[15],"athletes":[16,28,107],"are":[17,65,135,138],"evaluated,":[18],"trained,":[19],"monitored.":[21],"It":[22],"enables":[23],"coaches,":[24],"scientists":[26],"to":[29,46,69,95,97,141],"explore":[30,163],"vast":[31],"quantities":[32],"of":[33,73,106,167],"performance":[34,120,171],"data":[35,94,124],"find":[37],"patterns":[38],"that":[39],"they":[40],"might":[41],"not":[42],"otherwise":[43],"be":[44,157],"able":[45],"see":[47],"through":[48],"traditional":[49],"methods.":[50],"Technologies":[51],"like":[52],"machine":[53],"learning,":[54],"computer":[55],"vision,":[56],"wearable":[57],"technology,":[58],"predictive":[59],"analytics,":[60],"automated":[62],"video":[63],"analysis":[64],"also":[66,114,139],"being":[67],"applied":[68],"growing":[71],"number":[72],"technical":[74],"skills,":[75],"physical":[76],"performance,":[77,184],"tactical":[78],"movements,":[79],"training":[80,99],"workload,":[81],"recovery":[82],"injury":[84],"risk":[85],"studies.":[86],"Such":[87],"technologies":[88],"can":[89,113],"deliver":[90],"real-time":[91],"personalized":[93],"coaches":[96],"create":[98],"plans":[100],"based":[101],"on":[102],"unique":[104],"requirements":[105],"make":[109],"informed":[110],"decisions.":[111],"aid":[115],"talent":[117],"identification":[118],"prediction":[121],"by":[122],"integrating":[123],"collected":[125],"from":[126],"physical,":[127],"physiological,":[128],"biomechanical,":[129],"psychological":[131],"factors.":[132],"While":[133],"these":[134],"advantages,":[136],"there":[137],"drawbacks":[140],"using":[142],"sports.":[145],"Data":[146],"quality,":[147],"privacy,":[148],"cost,":[149],"technical,":[150],"algorithmic":[151],"bias":[152],"ethical":[154],"considerations":[155],"should":[156],"taken":[158],"seriously.":[159],"The":[160],"article":[161],"will":[162],"key":[165],"applications":[166],"analysis,":[172],"as":[173,175],"well":[174],"its":[176,186],"potential":[177],"benefits":[178],"enhancing":[180],"athlete":[181],"development":[182],"current":[187],"challenges":[188],"future":[190],"prospects.":[191]},"counts_by_year":[],"updated_date":"2026-11-03T10:50:19.383937","created_date":"2026-10-30T00:00:00"}