{"id":"https://openalex.org/W3113613864","doi":"https://doi.org/10.1109/access.2020.3047455","title":"Study on the Identification Method of Human Upper Limb Flag Movements Based on Inception-ResNet Double Stream Network","display_name":"Study on the Identification Method of Human Upper Limb Flag Movements Based on Inception-ResNet Double Stream Network","publication_year":2020,"publication_date":"2020-12-25","ids":{"openalex":"https://openalex.org/W3113613864","doi":"https://doi.org/10.1109/access.2020.3047455","mag":"3113613864"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3047455","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3047455","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09309031.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09309031.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063999245","display_name":"Yue Zhong","orcid":"https://orcid.org/0000-0002-2376-6784"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhong Yue","raw_affiliation_strings":["College of Field Engineering, Army Engineering University of PLA, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-2376-6784","affiliations":[{"raw_affiliation_string":"College of Field Engineering, Army Engineering University of PLA, Nanjing, China","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100776335","display_name":"Jiqing Luo","orcid":"https://orcid.org/0000-0001-8268-0174"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiqing Luo","raw_affiliation_strings":["College of Field Engineering, Army Engineering University of PLA, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-8268-0174","affiliations":[{"raw_affiliation_string":"College of Field Engineering, Army Engineering University of PLA, Nanjing, China","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Fang Husheng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang Husheng","raw_affiliation_strings":["College of Field Engineering, Army Engineering University of PLA, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Field Engineering, Army Engineering University of PLA, Nanjing, China","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056491821","display_name":"Faming Shao","orcid":"https://orcid.org/0000-0002-6281-2990"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Faming Shao","raw_affiliation_strings":["College of Field Engineering, Army Engineering University of PLA, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-6281-2990","affiliations":[{"raw_affiliation_string":"College of Field Engineering, Army Engineering University of PLA, Nanjing, China","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052385005","display_name":"Zhou Ranzhi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhou Ranzhi","raw_affiliation_strings":["College of Field Engineering, Army Engineering University of PLA, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Field Engineering, Army Engineering University of PLA, Nanjing, China","institution_ids":["https://openalex.org/I4210163363"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210163363"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.134,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.608963,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"9","issue":null,"first_page":"85764","last_page":"85784"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9955000281333923,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9955000281333923,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9941999912261963,"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"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9919999837875366,"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/computer-science","display_name":"Computer science","score":0.7654387950897217},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6716703772544861},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6542808413505554},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6453386545181274},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5985580682754517},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5478841066360474},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5121181011199951},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.45734214782714844},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.44831401109695435},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3166496455669403},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1341794729232788}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7654387950897217},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6716703772544861},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6542808413505554},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6453386545181274},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5985580682754517},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5478841066360474},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5121181011199951},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.45734214782714844},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.44831401109695435},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3166496455669403},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1341794729232788},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3047455","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3047455","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09309031.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:67b4284d33c942b1aa1a17b1c8241b98","is_oa":true,"landing_page_url":"https://doaj.org/article/67b4284d33c942b1aa1a17b1c8241b98","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":"IEEE Access, Vol 9, Pp 85764-85784 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3047455","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3047455","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09309031.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.5699999928474426}],"awards":[{"id":"https://openalex.org/G5213865483","display_name":null,"funder_award_id":"61671470","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7714874326","display_name":null,"funder_award_id":"2016YFC0802904","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8264108994","display_name":"\u57fa\u4e8egabor\u57fa\u548c\u8272\u5f69\u7684\u901a\u7528\u9ad8\u6548\u5377\u79ef\u7f51\u7edc\u53ca\u5e94\u7528\u7814\u7a76","funder_award_id":"61671470","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3113613864.pdf","grobid_xml":"https://content.openalex.org/works/W3113613864.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W1968670561","https://openalex.org/W1970099751","https://openalex.org/W2012557818","https://openalex.org/W2017634428","https://openalex.org/W2051167698","https://openalex.org/W2140944144","https://openalex.org/W2156303437","https://openalex.org/W2163915638","https://openalex.org/W2224736847","https://openalex.org/W2259263553","https://openalex.org/W2270436279","https://openalex.org/W2274287116","https://openalex.org/W2317863653","https://openalex.org/W2395515569","https://openalex.org/W2507009361","https://openalex.org/W2517617279","https://openalex.org/W2766419757","https://openalex.org/W2766654026","https://openalex.org/W2771292748","https://openalex.org/W2773530077","https://openalex.org/W2783380896","https://openalex.org/W2790552646","https://openalex.org/W2790744657","https://openalex.org/W2794574871","https://openalex.org/W2799409595","https://openalex.org/W2799926361","https://openalex.org/W2803329158","https://openalex.org/W2806081355","https://openalex.org/W2810217533","https://openalex.org/W2810898455","https://openalex.org/W2883043384","https://openalex.org/W2892961888","https://openalex.org/W2902557759","https://openalex.org/W2911068172","https://openalex.org/W2919115771","https://openalex.org/W2963485221","https://openalex.org/W2964240820","https://openalex.org/W2964350391","https://openalex.org/W2979849298","https://openalex.org/W2990991805","https://openalex.org/W3003166701","https://openalex.org/W3007171225","https://openalex.org/W3011054152","https://openalex.org/W3036051382","https://openalex.org/W6682864246","https://openalex.org/W6694260854","https://openalex.org/W6746262365","https://openalex.org/W6752578362"],"related_works":["https://openalex.org/W2090763504","https://openalex.org/W4391621807","https://openalex.org/W148178222","https://openalex.org/W2964954556","https://openalex.org/W4386858688","https://openalex.org/W2982536526","https://openalex.org/W4380302312","https://openalex.org/W3008689640","https://openalex.org/W4385338604","https://openalex.org/W3081626085"],"abstract_inverted_index":{"To":[0],"investigate":[1],"the":[2,66,68,79,108,116,119,123,127,133,169,174,181,185,190,213,218,223,234,238,243,272,279,287],"recognition":[3,27,31,42,124,244,280],"effect":[4],"of":[5,28,102,110,118,147,217,236,289],"flag":[6,29,75,290],"motions":[7],"based":[8,167,221],"on":[9,155,168,222],"9":[10],"axis":[11],"sensors,":[12],"starting":[13],"with":[14,149,267],"deep":[15],"learning":[16,135],"methods,":[17],"this":[18,158],"paper":[19],"proposes":[20,160,198],"a":[21,100,161,199],"framework":[22,130,220],"for":[23,107],"feature":[24],"extraction":[25],"and":[26,51,132,177,197,251,258],"movements":[30,76,291],"by":[32,188,282,294],"employing":[33],"an":[34],"improved":[35],"Inception-ResNet":[36,224],"dual-stream":[37],"network.":[38],"In":[39,65],"traditional":[40,92],"signal":[41,162,175],"studies,":[43],"Support":[44],"Vector":[45],"Machine":[46],"(SVM),":[47],"Random":[48],"Forest":[49],"(RF)":[50],"One":[52],"Dimensional":[53],"Convolutional":[54],"Neural":[55],"Network":[56],"(CNN)":[57],"are":[58,77,87,141,264],"usually":[59,78,88],"used":[60,131,137],"to":[61,143,286],"extract":[62],"signals'":[63],"features.":[64],"meanwhile,":[67],"time":[69,112],"series":[70],"data":[71,81,120,148],"sets":[72],"such":[73,254],"as":[74,255],"standard":[80],"set":[82,121],"after":[83],"processing.":[84],"Therefore,":[85],"there":[86,98],"some":[89],"limitations":[90],"in":[91,95,115,122,138,173,184,261],"systems.":[93],"First,":[94],"actual":[96],"environment,":[97],"exists":[99],"lack":[101],"effective":[103],"segmentation":[104,176],"detection":[105,165,178],"method":[106],"samples":[109],"long":[111],"series,":[113],"resulting":[114],"deviation":[117],"process.":[125],"Second,":[126],"One-Dimensional":[128],"CNN":[129,187,219,240],"machine":[134],"frameworks":[136],"previous":[139],"studies":[140],"difficult":[142],"process":[144],"large":[145],"quantities":[146],"too":[150],"high":[151],"computational":[152],"memory.":[153],"Based":[154],"these":[156],"problems,":[157],"study":[159],"change":[163],"point":[164],"model":[166,225],"diversity":[170],"factory":[171],"function":[172,250,276],"stage,":[179],"miniaturizes":[180],"convolution":[182,195],"kernel":[183],"original":[186,239],"using":[189],"Inception-ResNet(I-R)":[191],"dual-flow":[192],"network":[193],"separable":[194],"method,":[196],"CrossEntropy-Logistic(C-L)":[200],"joint":[201,248,274],"classification":[202,296],"loss":[203,249,275],"function.":[204],"Through":[205],"conducting":[206],"comparative":[207],"experiments,":[208],"it":[209],"is":[210,226,229],"found":[211],"that":[212],"average":[214],"calculation":[215],"parameter":[216],"2.7\u00d7107,":[227],"which":[228],"approximately":[230],"37%":[231],"lower":[232],"than":[233],"number":[235],"3.7\u00d7107in":[237],"model.":[241],"Finally,":[242],"rate":[245,281],"between":[246],"C-L":[247,273],"other":[252],"models":[253],"Multi-Layer":[256],"Perceptron":[257],"Ensemble":[259,268],"Learning":[260],"recent":[262],"years":[263],"compared.":[265],"Compared":[266],"Learning-CrossEntropy":[269],"(ELC)":[270],"model,":[271],"can":[277],"improve":[278],"nearly":[283],"5%":[284],"according":[285],"results":[288],"identification":[292],"measured":[293],"several":[295],"models.":[297]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}