{"id":"https://openalex.org/W7124691725","doi":"https://doi.org/10.1002/itl2.70220","title":"Real\u2010Time Motion Capture and <scp>AI</scp> \u2010Assisted Training Strategy Using Edge Computing and Smartphone Sensors","display_name":"Real\u2010Time Motion Capture and <scp>AI</scp> \u2010Assisted Training Strategy Using Edge Computing and Smartphone Sensors","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7124691725","doi":"https://doi.org/10.1002/itl2.70220"},"language":"en","primary_location":{"id":"doi:10.1002/itl2.70220","is_oa":true,"landing_page_url":"https://doi.org/10.1002/itl2.70220","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/itl2.70220","source":{"id":"https://openalex.org/S4210238311","display_name":"Internet Technology Letters","issn_l":"2476-1508","issn":["2476-1508"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Internet Technology Letters","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/itl2.70220","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044014192","display_name":"Yashan Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I116036724","display_name":"Shenyang Ligong University","ror":"https://ror.org/03m20nr07","country_code":"CN","type":"education","lineage":["https://openalex.org/I116036724"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yashan Zhang","raw_affiliation_strings":["Shenyang Ligong University  Shenyang Liaoning China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenyang Ligong University  Shenyang Liaoning China","institution_ids":["https://openalex.org/I116036724"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101801845","display_name":"Wenwen Pan","orcid":"https://orcid.org/0009-0005-7004-576X"},"institutions":[{"id":"https://openalex.org/I111971639","display_name":"Qiqihar University","ror":"https://ror.org/01khf5d59","country_code":"CN","type":"education","lineage":["https://openalex.org/I111971639"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenwen Pan","raw_affiliation_strings":["Qiqihar University  Qiqihar Heilongjiang China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qiqihar University  Qiqihar Heilongjiang China","institution_ids":["https://openalex.org/I111971639"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101801845"],"corresponding_institution_ids":["https://openalex.org/I111971639"],"apc_list":{"value":2630,"currency":"USD","value_usd":2630},"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07409826,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14413","display_name":"Advanced Technologies in Various Fields","score":0.06689999997615814,"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"}},"topics":[{"id":"https://openalex.org/T14413","display_name":"Advanced Technologies in Various Fields","score":0.06689999997615814,"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/T10157","display_name":"Sports Performance and Training","score":0.03799999877810478,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.03799999877810478,"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/motion-capture","display_name":"Motion capture","score":0.7818999886512756},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.7202000021934509},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7189000248908997},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6014000177383423},{"id":"https://openalex.org/keywords/automatic-identification-and-data-capture","display_name":"Automatic identification and data capture","score":0.5566999912261963},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5407999753952026},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.5364999771118164},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.45500001311302185}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7879999876022339},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.7818999886512756},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.7202000021934509},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7189000248908997},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6014000177383423},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5860999822616577},{"id":"https://openalex.org/C104582849","wikidata":"https://www.wikidata.org/wiki/Q787282","display_name":"Automatic identification and data capture","level":2,"score":0.5566999912261963},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5407999753952026},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.5364999771118164},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.45500001311302185},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.4490000009536743},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4239000082015991},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41659998893737793},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.40950000286102295},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.37119999527931213},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.3100000023841858},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3037000000476837},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.26980000734329224},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.26269999146461487},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.2590999901294708},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2572000026702881},{"id":"https://openalex.org/C2777036941","wikidata":"https://www.wikidata.org/wiki/Q6917771","display_name":"Motion analysis","level":2,"score":0.2540999948978424}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1002/itl2.70220","is_oa":true,"landing_page_url":"https://doi.org/10.1002/itl2.70220","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/itl2.70220","source":{"id":"https://openalex.org/S4210238311","display_name":"Internet Technology Letters","issn_l":"2476-1508","issn":["2476-1508"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Internet Technology Letters","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1002/itl2.70220","is_oa":true,"landing_page_url":"https://doi.org/10.1002/itl2.70220","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/itl2.70220","source":{"id":"https://openalex.org/S4210238311","display_name":"Internet Technology Letters","issn_l":"2476-1508","issn":["2476-1508"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Internet Technology Letters","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7124691725.pdf","grobid_xml":"https://content.openalex.org/works/W7124691725.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W3210846504","https://openalex.org/W4206116305","https://openalex.org/W4224952058","https://openalex.org/W4293195635","https://openalex.org/W4387986986","https://openalex.org/W4393212485","https://openalex.org/W4393642631","https://openalex.org/W4401413586","https://openalex.org/W4405179766","https://openalex.org/W4408915458"],"related_works":[],"abstract_inverted_index":{"ABSTRACT":[0],"Traditional":[1],"cloud\u2010centric":[2],"architectures":[3],"face":[4],"significant":[5],"challenges":[6],"when":[7],"processing":[8,48],"high\u2010frequency":[9],"multimodal":[10],"data":[11,91],"from":[12],"massive":[13],"smart":[14],"devices":[15],"and":[16,23,85,93,114,172],"smartphone":[17],"sensors":[18],"used":[19],"during":[20],"motion":[21,57,112,135],"capture":[22,58,92,113],"training.":[24],"Current":[25],"approaches":[26],"also":[27],"struggle":[28],"with":[29,155],"the":[30,47,63,101,138,145,152,159],"low\u2010latency":[31],"computational":[32],"demands":[33],"of":[34],"various":[35],"sensors.":[36],"Edge":[37],"computing":[38,65],"has":[39],"appeared":[40],"as":[41],"a":[42,55,110],"novel":[43],"way":[44],"to":[45,51,80,123,143],"reduce":[46],"latency.":[49],"Hence,":[50],"address":[52],"these":[53],"challenges,":[54],"real\u2010time":[56,111],"method":[59,154,165],"is":[60,78,121,131,141],"proposed":[61,153],"under":[62],"edge":[64,75,83],"framework":[66,77],"for":[67,89,133],"an":[68,74],"AI\u2010assisted":[69,115],"sports":[70,146],"training":[71,94,117,147],"strategy.":[72,118],"First,":[73],"computing\u2010based":[76],"designed":[79],"leverage":[81],"distributed":[82],"resources":[84],"lightweight":[86,102],"AI":[87],"models":[88],"sensor":[90],"guidance":[95],"on":[96,100],"smartphones.":[97],"Besides,":[98],"based":[99],"Long":[103],"Short\u2010Term":[104],"Memory":[105],"(LSTM)":[106],"model,":[107],"we":[108],"propose":[109],"sport":[116],"The":[119],"LSTM":[120],"integrated":[122],"analyze":[124],"temporal":[125],"dependencies":[126],"in":[127,169],"sequential":[128],"data,":[129],"which":[130],"ideal":[132],"capturing":[134],"patterns,":[136],"while":[137],"feedback":[139],"mechanism":[140],"applied":[142],"optimize":[144],"process":[148],"iteratively.":[149],"By":[150],"comparing":[151],"recent":[156],"state\u2010of\u2010the\u2010art":[157],"approaches,":[158],"experimental":[160],"results":[161],"demonstrate":[162],"that":[163],"our":[164],"shows":[166],"better":[167],"performance":[168],"latency,":[170],"accuracy,":[171],"F":[173],"1\u2010score.":[174]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2026-01-20T00:00:00"}
