{"id":"https://openalex.org/W4411971298","doi":"https://doi.org/10.1177/1088467x251353444","title":"Deep learning-based badminton action recognition and quality assessment","display_name":"Deep learning-based badminton action recognition and quality assessment","publication_year":2025,"publication_date":"2025-07-03","ids":{"openalex":"https://openalex.org/W4411971298","doi":"https://doi.org/10.1177/1088467x251353444"},"language":"en","primary_location":{"id":"doi:10.1177/1088467x251353444","is_oa":false,"landing_page_url":"https://doi.org/10.1177/1088467x251353444","pdf_url":null,"source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Data Analysis: An International Journal","raw_type":"journal-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/A5100385632","display_name":"Yanping Li","orcid":"https://orcid.org/0000-0002-0074-7695"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanping Li","raw_affiliation_strings":["Office of Academic Affairs, Shanghai University, Shanghai, 200444, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Office of Academic Affairs, Shanghai University, Shanghai, 200444, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062924346","display_name":"Yichen Feng","orcid":"https://orcid.org/0009-0004-5912-0282"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yichen Feng","raw_affiliation_strings":["School of Communication and Information Engineering, Shanghai University, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0004-5912-0282","affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115695438","display_name":"Xiangyang Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiangyang Wang","raw_affiliation_strings":["School of Communication and Information Engineering, Shanghai University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110364832","display_name":"Gaofeng Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gaofeng Lu","raw_affiliation_strings":["Physical Education College, Shanghai University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Physical Education College, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5115695438"],"corresponding_institution_ids":["https://openalex.org/I113940042"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12301562,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"30","issue":"2","first_page":"531","last_page":"543"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9991999864578247,"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":0.9991999864578247,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.996399998664856,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9860000014305115,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.6419135332107544},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.6039076447486877},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.6004055142402649},{"id":"https://openalex.org/keywords/quality-assessment","display_name":"Quality assessment","score":0.5104109644889832},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5068631768226624},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4785528779029846},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.34946706891059875},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.33403128385543823},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1869092583656311},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12778690457344055},{"id":"https://openalex.org/keywords/evaluation-methods","display_name":"Evaluation methods","score":0.08880528807640076},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.07122400403022766}],"concepts":[{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.6419135332107544},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.6039076447486877},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.6004055142402649},{"id":"https://openalex.org/C3020001037","wikidata":"https://www.wikidata.org/wiki/Q836575","display_name":"Quality assessment","level":3,"score":0.5104109644889832},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5068631768226624},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4785528779029846},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.34946706891059875},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.33403128385543823},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1869092583656311},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12778690457344055},{"id":"https://openalex.org/C3018395757","wikidata":"https://www.wikidata.org/wiki/Q1379672","display_name":"Evaluation methods","level":2,"score":0.08880528807640076},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.07122400403022766},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/1088467x251353444","is_oa":false,"landing_page_url":"https://doi.org/10.1177/1088467x251353444","pdf_url":null,"source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Data Analysis: An International Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2194775991","https://openalex.org/W2495920728","https://openalex.org/W2555751471","https://openalex.org/W2916798096","https://openalex.org/W2948058585","https://openalex.org/W2952819818","https://openalex.org/W2956532199","https://openalex.org/W2959975024","https://openalex.org/W2962820842","https://openalex.org/W2963076818","https://openalex.org/W2963402313","https://openalex.org/W2965105226","https://openalex.org/W2990503944","https://openalex.org/W2990759760","https://openalex.org/W3010071343","https://openalex.org/W3010812598","https://openalex.org/W3018726990","https://openalex.org/W3034945237","https://openalex.org/W3035180180","https://openalex.org/W3036133893","https://openalex.org/W3047772167","https://openalex.org/W3081222992","https://openalex.org/W3088390354","https://openalex.org/W3185030651","https://openalex.org/W3193806661","https://openalex.org/W4229618383","https://openalex.org/W4231290138","https://openalex.org/W4293054917","https://openalex.org/W4298130146","https://openalex.org/W4312245820","https://openalex.org/W4312419390","https://openalex.org/W4312560592","https://openalex.org/W4312785375","https://openalex.org/W4385245566","https://openalex.org/W4387143942","https://openalex.org/W4392172411","https://openalex.org/W4406459944","https://openalex.org/W6739901393"],"related_works":["https://openalex.org/W2084487854","https://openalex.org/W2353878298","https://openalex.org/W4205118967","https://openalex.org/W2077682749","https://openalex.org/W2298450300","https://openalex.org/W2374729771","https://openalex.org/W1576128429","https://openalex.org/W2269464716","https://openalex.org/W1963988314","https://openalex.org/W1924500548"],"abstract_inverted_index":{"Most":[0],"people":[1],"primarily":[2],"rely":[3],"on":[4,98],"subjective":[5],"opinions":[6],"and":[7,22,37,48,67,73,86,103,148,155,177,193],"action":[8,92,191],"assessment":[9,24,39,119],"from":[10],"others":[11],"in":[12,82,150,169],"the":[13,83,99,110,117,127,139,156,182],"process":[14],"of":[15,25,33,40,60,79,120,132,145,166],"learning":[16],"badminton,":[17],"which":[18],"leads":[19],"to":[20,43,76,189],"biases":[21],"unreliable":[23],"player":[26,46,50],"performance.":[27,51],"This":[28],"paper":[29],"presents":[30],"a":[31,57,69,104],"method":[32,184],"deep":[34],"learning-based":[35],"recognition":[36,93,149,192],"quality":[38,118,194],"badminton":[41,62,91,121,151,171,190],"actions":[42,47,63],"accurately":[44],"identify":[45],"assess":[49],"In":[52],"this":[53],"research,":[54],"we":[55],"construct":[56],"video":[58,84],"dataset":[59,85],"standard":[61],"for":[64,115,175,179],"training":[65],"networks":[66],"design":[68],"human":[70,133],"pose":[71,135,146],"estimation":[72,136],"tracking":[74],"network":[75,101,106,112],"detect":[77],"keypoints":[78],"individual":[80],"players":[81,168],"track":[87],"their":[88],"trajectories.":[89],"Furthermore,":[90],"is":[94,113,173],"carried":[95],"out":[96],"based":[97],"SlowFast":[100],"framework,":[102],"Siamese":[105],"with":[107],"it":[108],"as":[109],"backbone":[111],"proposed":[114,183],"automating":[116],"actions.":[122],"Experimental":[123],"results":[124],"demonstrate":[125],"that":[126],"mean":[128],"average":[129],"precision":[130],"(mAP)":[131],"body":[134],"reaches":[137,153,162],"83.2%,":[138],"Multiple":[140,157],"Object":[141,158],"Tracking":[142,159],"Accuracy":[143],"(MOTA)":[144],"detection":[147],"games":[152],"81.4%,":[154],"Precision":[160],"(MOTP)":[161],"90.7%.":[163],"The":[164],"accuracy":[165],"professional":[167],"identifying":[170],"strokes":[172],"83.08%":[174],"Top-1":[176],"96.89%":[178],"Top-3.":[180],"Therefore,":[181],"can":[185],"be":[186],"effectively":[187],"applied":[188],"assessment.":[195]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
