{"id":"https://openalex.org/W7142798190","doi":"https://doi.org/10.1007/s44163-026-01172-9","title":"Analysis of dance movement teaching support system based on artificial intelligence and wearable technology","display_name":"Analysis of dance movement teaching support system based on artificial intelligence and wearable technology","publication_year":2026,"publication_date":"2026-03-29","ids":{"openalex":"https://openalex.org/W7142798190","doi":"https://doi.org/10.1007/s44163-026-01172-9"},"language":"en","primary_location":{"id":"doi:10.1007/s44163-026-01172-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44163-026-01172-9","pdf_url":null,"source":{"id":"https://openalex.org/S4210220416","display_name":"Discover Artificial Intelligence","issn_l":"2731-0809","issn":["2731-0809"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1007/s44163-026-01172-9","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5130887440","display_name":"Ting Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I177739611","display_name":"Yangtze University","ror":"https://ror.org/05bhmhz54","country_code":"CN","type":"education","lineage":["https://openalex.org/I177739611"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Lu","raw_affiliation_strings":["School of Education and Psychology, Yangtze University College of Arts and Sciences, Jingzhou, 434020, Hubei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Education and Psychology, Yangtze University College of Arts and Sciences, Jingzhou, 434020, Hubei, China","institution_ids":["https://openalex.org/I177739611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110986132","display_name":"Yayun Xiao","orcid":null},"institutions":[{"id":"https://openalex.org/I177739611","display_name":"Yangtze University","ror":"https://ror.org/05bhmhz54","country_code":"CN","type":"education","lineage":["https://openalex.org/I177739611"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yayun Xiao","raw_affiliation_strings":["School of Education and Psychology, Yangtze University College of Arts and Sciences, Jingzhou, 434020, Hubei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Education and Psychology, Yangtze University College of Arts and Sciences, Jingzhou, 434020, Hubei, China","institution_ids":["https://openalex.org/I177739611"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5110986132"],"corresponding_institution_ids":["https://openalex.org/I177739611"],"apc_list":{"value":1340,"currency":"USD","value_usd":1340},"apc_paid":{"value":1340,"currency":"USD","value_usd":1340},"fwci":5.2756,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.95270316,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"6","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":0.512499988079071,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":0.512499988079071,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T12051","display_name":"Diversity and Impact of Dance","score":0.29409998655319214,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.028699999675154686,"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/dance","display_name":"Dance","score":0.7807999849319458},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.6622999906539917},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5181000232696533},{"id":"https://openalex.org/keywords/wearable-technology","display_name":"Wearable technology","score":0.5012000203132629},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.4925000071525574},{"id":"https://openalex.org/keywords/movement","display_name":"Movement (music)","score":0.4878999888896942},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.44690001010894775},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.35440000891685486}],"concepts":[{"id":"https://openalex.org/C147446459","wikidata":"https://www.wikidata.org/wiki/Q11639","display_name":"Dance","level":2,"score":0.7807999849319458},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.6622999906539917},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6043000221252441},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5910000205039978},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5181000232696533},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.5012000203132629},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.4925000071525574},{"id":"https://openalex.org/C2780226923","wikidata":"https://www.wikidata.org/wiki/Q929848","display_name":"Movement (music)","level":2,"score":0.4878999888896942},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4779999852180481},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.44690001010894775},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.35440000891685486},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.3353999853134155},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.32760000228881836},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.32679998874664307},{"id":"https://openalex.org/C92928450","wikidata":"https://www.wikidata.org/wiki/Q5215234","display_name":"Dance education","level":3,"score":0.326200008392334},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.30630001425743103},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.3003999888896942},{"id":"https://openalex.org/C88610354","wikidata":"https://www.wikidata.org/wiki/Q1813494","display_name":"Teaching method","level":2,"score":0.29589998722076416},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.26010000705718994},{"id":"https://openalex.org/C2986565385","wikidata":"https://www.wikidata.org/wiki/Q852453","display_name":"Motion sensors","level":2,"score":0.25920000672340393},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2581000030040741}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s44163-026-01172-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44163-026-01172-9","pdf_url":null,"source":{"id":"https://openalex.org/S4210220416","display_name":"Discover Artificial Intelligence","issn_l":"2731-0809","issn":["2731-0809"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:62ca11236b9542f981c493a5d586c9a1","is_oa":true,"landing_page_url":"https://doaj.org/article/62ca11236b9542f981c493a5d586c9a1","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Discover Artificial Intelligence, Vol 6, Iss 1 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s44163-026-01172-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44163-026-01172-9","pdf_url":null,"source":{"id":"https://openalex.org/S4210220416","display_name":"Discover Artificial Intelligence","issn_l":"2731-0809","issn":["2731-0809"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1983364832","https://openalex.org/W2152195021","https://openalex.org/W2173248099","https://openalex.org/W2517194566","https://openalex.org/W2964199361","https://openalex.org/W3164740582","https://openalex.org/W4283766465","https://openalex.org/W4285028886","https://openalex.org/W4295718150","https://openalex.org/W4312479103","https://openalex.org/W4323050330","https://openalex.org/W4385399782","https://openalex.org/W4385603766","https://openalex.org/W4391848639","https://openalex.org/W4396807840","https://openalex.org/W4396832695","https://openalex.org/W4403775482","https://openalex.org/W4403934476","https://openalex.org/W4404756446","https://openalex.org/W4404763399","https://openalex.org/W4405899398","https://openalex.org/W4406177383","https://openalex.org/W4406215063","https://openalex.org/W4407951992","https://openalex.org/W4409055605","https://openalex.org/W4409609244","https://openalex.org/W4410382390","https://openalex.org/W4413008969","https://openalex.org/W4413336774","https://openalex.org/W4413874649"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"For":[1],"a":[2,156],"long":[3],"time,":[4],"dance":[5,122,139,181,190,261,279],"education":[6,121,262],"in":[7,41,67,119,147,281],"Chinese":[8,189,282],"universities":[9,283],"has":[10],"relied":[11],"on":[12,301],"teachers":[13,236],"watching":[14],"students":[15,17,242],"and":[16,20,36,54,58,71,86,114,133,150,174,179,207,219,240,266,291,308],"practicing":[18],"over":[19,21],"again.":[22],"This":[23,90],"method":[24,270],"often":[25],"makes":[26,228],"it":[27,49,233],"hard":[28],"to":[29,52,103,137,193,287,312],"give":[30,37,151,237],"objective":[31],"feedback,":[32,39,113],"correct":[33],"mistakes":[34],"quickly,":[35],"personalized":[38,152],"especially":[40],"big":[42],"or":[43],"diverse":[44],"classes.":[45],"In":[46],"these":[47],"circumstances,":[48],"is":[50],"challenging":[51],"detect":[53],"rectify":[55],"subtle":[56],"biomechanical":[57],"rhythmic":[59],"deviations":[60],"using":[61],"traditional":[62,188],"teaching":[63,274,293],"methods.":[64],"Recent":[65],"developments":[66],"artificial":[68],"intelligence":[69],"(AI)":[70],"wearable":[72,127,256],"sensor":[73,185],"technologies":[74,258],"provide":[75],"an":[76,93,211,215,220],"alternative":[77],"by":[78],"facilitating":[79],"continuous":[80],"motion":[81,108],"capture,":[82],"quantitative":[83],"movement":[84],"analysis,":[85],"data-driven":[87],"instructional":[88],"support.":[89],"project":[91],"creates":[92],"AI-based":[94],"Dance":[95],"Movement":[96],"Teaching":[97],"Support":[98],"System":[99],"(DM-TSS)":[100],"that":[101,141,168,252],"aims":[102],"improve":[104],"the":[105,110,115,195],"accuracy":[106,212],"of":[107,112,117,213,217,222],"acquisition,":[109],"reliability":[111],"effectiveness":[116],"instruction":[118],"higher":[120],"training.":[123],"The":[124,197,224,268],"system":[125,225],"combines":[126],"inertial":[128],"sensors":[129],"with":[130,170,255],"deep":[131],"learning":[132,135],"reinforcement":[134],"models":[136],"analyze":[138],"movements":[140,245],"involve":[142],"more":[143,263,295],"than":[144],"one":[145],"joint":[146],"real":[148],"time":[149],"feedback.":[153],"We":[154,183],"present":[155],"new":[157],"framework":[158,199],"called":[159],"Namib":[160],"Beetle":[161],"Optimization\u2013Twin-Stage":[162],"Hierarchical":[163],"Deep":[164],"Reinforcement":[165],"Learning":[166],"(NBO\u2013TSH-DRL)":[167],"helps":[169],"adaptive":[171],"feature":[172],"selection":[173],"hierarchical":[175],"decision-making":[176],"for":[177],"classifying":[178],"evaluating":[180],"movements.":[182],"used":[184],"data":[186],"from":[187],"training":[191,280],"sessions":[192],"test":[194],"experiment.":[196],"proposed":[198],"outperformed":[200],"baseline":[201],"methods,":[202],"such":[203],"as":[204],"GRU,":[205],"3D-CNN,":[206],"PSO-optimized":[208],"models,":[209],"achieving":[210],"97.9%,":[214],"F1-score":[216],"0.98,":[218],"AUC":[221],"0.99.":[223],"not":[226],"only":[227],"things":[229],"work":[230],"better,":[231],"but":[232],"also":[234,285],"lets":[235,241],"real-time":[238],"feedback":[239,311],"see":[243],"their":[244],"through":[246],"AI-assisted":[247],"dashboards.":[248],"These":[249],"results":[250],"show":[251],"combining":[253],"AI":[254],"sensing":[257],"can":[259],"make":[260],"objective,":[264],"personalized,":[265],"consistent.":[267],"suggested":[269],"shows":[271],"how":[272],"intelligent":[273],"systems":[275],"could":[276],"help":[277],"modernize":[278],"while":[284],"helping":[286],"preserve":[288],"cultural":[289],"heritage":[290],"making":[292],"methods":[294],"flexible.":[296],"Future":[297],"efforts":[298],"will":[299],"concentrate":[300],"augmenting":[302],"cross-style":[303],"datasets,":[304],"enhancing":[305],"model":[306],"generalization,":[307],"integrating":[309],"multimodal":[310],"facilitate":[313],"wider":[314],"educational":[315],"implementation.":[316]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2026-03-30T00:00:00"}
