{"id":"https://openalex.org/W4405869431","doi":"https://doi.org/10.1007/s40747-024-01743-2","title":"Advancing skeleton-based human behavior recognition: multi-stream fusion spatiotemporal graph convolutional networks","display_name":"Advancing skeleton-based human behavior recognition: multi-stream fusion spatiotemporal graph convolutional networks","publication_year":2024,"publication_date":"2024-12-28","ids":{"openalex":"https://openalex.org/W4405869431","doi":"https://doi.org/10.1007/s40747-024-01743-2"},"language":"en","primary_location":{"id":"doi:10.1007/s40747-024-01743-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-024-01743-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01743-2.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01743-2.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100632779","display_name":"Fenglin Liu","orcid":"https://orcid.org/0009-0007-4736-8100"},"institutions":[{"id":"https://openalex.org/I181361081","display_name":"Longyan University","ror":"https://ror.org/0483s5p06","country_code":"CN","type":"education","lineage":["https://openalex.org/I181361081"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fenglin Liu","raw_affiliation_strings":["School of Physics and Mechanical and Electrical Engineering, Longyan University, Longyan, 364012, People\u2019s Republic of China"],"affiliations":[{"raw_affiliation_string":"School of Physics and Mechanical and Electrical Engineering, Longyan University, Longyan, 364012, People\u2019s Republic of China","institution_ids":["https://openalex.org/I181361081"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100385875","display_name":"Chenyu Wang","orcid":"https://orcid.org/0000-0002-6527-2897"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenyu Wang","raw_affiliation_strings":["School of Software Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, 710049, People\u2019s Republic of China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, 710049, People\u2019s Republic of China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020301327","display_name":"Zhiqiang Tian","orcid":"https://orcid.org/0000-0002-3669-3748"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqiang Tian","raw_affiliation_strings":["School of Software Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, 710049, People\u2019s Republic of China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, 710049, People\u2019s Republic of China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044668212","display_name":"Shaoyi Du","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaoyi Du","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics, Xi\u2019an Jiaotong University, Xi\u2019an, 710049, People\u2019s Republic of China"],"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi\u2019an Jiaotong University, Xi\u2019an, 710049, People\u2019s Republic of China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022209006","display_name":"Wei Zeng","orcid":"https://orcid.org/0000-0002-8353-8265"},"institutions":[{"id":"https://openalex.org/I181361081","display_name":"Longyan University","ror":"https://ror.org/0483s5p06","country_code":"CN","type":"education","lineage":["https://openalex.org/I181361081"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zeng","raw_affiliation_strings":["School of Physics and Mechanical and Electrical Engineering, Longyan University, Longyan, 364012, People\u2019s Republic of China"],"affiliations":[{"raw_affiliation_string":"School of Physics and Mechanical and Electrical Engineering, Longyan University, Longyan, 364012, People\u2019s Republic of China","institution_ids":["https://openalex.org/I181361081"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100632779"],"corresponding_institution_ids":["https://openalex.org/I181361081"],"apc_list":{"value":1320,"currency":"GBP","value_usd":1619},"apc_paid":{"value":1320,"currency":"GBP","value_usd":1619},"fwci":3.6113,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.94343353,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"11","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":1.0,"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":1.0,"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":0.9990000128746033,"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":0.9987000226974487,"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/computational-intelligence","display_name":"Computational intelligence","score":0.6788570880889893},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6118898391723633},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5602843761444092},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5591772198677063},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5568366646766663},{"id":"https://openalex.org/keywords/skeleton","display_name":"Skeleton (computer programming)","score":0.5533146262168884},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5479996204376221},{"id":"https://openalex.org/keywords/human-skeleton","display_name":"Human skeleton","score":0.43584758043289185},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.42759066820144653},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.22828787565231323}],"concepts":[{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.6788570880889893},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6118898391723633},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5602843761444092},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5591772198677063},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5568366646766663},{"id":"https://openalex.org/C18969341","wikidata":"https://www.wikidata.org/wiki/Q1169129","display_name":"Skeleton (computer programming)","level":2,"score":0.5533146262168884},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5479996204376221},{"id":"https://openalex.org/C2777846634","wikidata":"https://www.wikidata.org/wiki/Q9621","display_name":"Human skeleton","level":2,"score":0.43584758043289185},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.42759066820144653},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.22828787565231323},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s40747-024-01743-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-024-01743-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01743-2.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:91cc9da8c3af413b908f2ebfe8cd11d3","is_oa":true,"landing_page_url":"https://doaj.org/article/91cc9da8c3af413b908f2ebfe8cd11d3","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complex & Intelligent Systems, Vol 11, Iss 1, Pp 1-21 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s40747-024-01743-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-024-01743-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01743-2.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1793362730","display_name":null,"funder_award_id":"2021J011086","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"},{"id":"https://openalex.org/G254024322","display_name":null,"funder_award_id":"2023J01966","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"},{"id":"https://openalex.org/G2808998401","display_name":null,"funder_award_id":"2023J01965","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"},{"id":"https://openalex.org/G3061147251","display_name":null,"funder_award_id":"2024J01867","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"},{"id":"https://openalex.org/G4698308896","display_name":null,"funder_award_id":"2021J01108","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"},{"id":"https://openalex.org/G5776234909","display_name":null,"funder_award_id":"2023J01964","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"},{"id":"https://openalex.org/G6894366865","display_name":null,"funder_award_id":"2024J011629","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"}],"funders":[{"id":"https://openalex.org/F4320321878","display_name":"Natural Science Foundation of Fujian Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4405869431.pdf","grobid_xml":"https://content.openalex.org/works/W4405869431.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W1871385855","https://openalex.org/W2783128845","https://openalex.org/W2905571172","https://openalex.org/W2907382309","https://openalex.org/W2917819557","https://openalex.org/W2940457086","https://openalex.org/W2948058585","https://openalex.org/W2963465695","https://openalex.org/W2964134613","https://openalex.org/W2991376513","https://openalex.org/W3034552520","https://openalex.org/W3034999503","https://openalex.org/W3035050855","https://openalex.org/W3035149912","https://openalex.org/W3044326989","https://openalex.org/W3088102655","https://openalex.org/W3101849660","https://openalex.org/W3119171349","https://openalex.org/W3119819302","https://openalex.org/W3137592945","https://openalex.org/W3209420330","https://openalex.org/W4205947138","https://openalex.org/W4214666412","https://openalex.org/W4225165893","https://openalex.org/W4290459660","https://openalex.org/W4380605224","https://openalex.org/W4382787643"],"related_works":["https://openalex.org/W2953562271","https://openalex.org/W1979723775","https://openalex.org/W2126881935","https://openalex.org/W4312993112","https://openalex.org/W3209135759","https://openalex.org/W2347221702","https://openalex.org/W2523395320","https://openalex.org/W41889997","https://openalex.org/W2784535632","https://openalex.org/W2348425426"],"abstract_inverted_index":{"In":[0,22],"the":[1,23,40,47,64,123,146,189,195,200,216,223,255,258,279,291],"realm":[2],"of":[3,10,19,25,31,49,66,71,93,125,149,191,202,218,225,257,276,288],"daily":[4],"human":[5,50,105],"interactions,":[6],"a":[7,17,60,90,161,209,234,272,285],"rich":[8],"tapestry":[9],"behaviors":[11,51],"and":[12,33,86,96,114,141,183,197,297],"actions":[13],"is":[14],"observed,":[15],"encompassing":[16],"wealth":[18],"informative":[20],"cues.":[21],"era":[24],"burgeoning":[26],"big":[27],"data,":[28,231],"extensive":[29],"repositories":[30],"images":[32],"videos":[34],"have":[35],"risen":[36],"to":[37,136,145,187,198,238,254],"prominence":[38],"as":[39,81],"primary":[41],"conduits":[42],"for":[43,267],"disseminating":[44],"information.":[45],"Grasping":[46],"intricacies":[48],"depicted":[52],"within":[53,63,155,194,229],"these":[54],"multimedia":[55],"contexts":[56],"has":[57],"evolved":[58],"into":[59],"pivotal":[61,133],"quandary":[62],"domain":[65],"computer":[67],"vision.":[68],"The":[69,99],"technology":[70],"behavior":[72,107,269],"recognition":[73,108,274],"finds":[74],"its":[75],"practical":[76],"application":[77],"across":[78,204],"domains":[79],"such":[80],"human-computer":[82],"interaction,":[83],"intelligent":[84],"surveillance,":[85],"anomaly":[87],"detection,":[88],"exhibiting":[89],"robust":[91],"blend":[92],"pragmatic":[94],"utility":[95],"scholarly":[97],"significance.":[98],"present":[100],"study":[101],"introduces":[102],"an":[103],"innovative":[104],"body":[106],"framework":[109],"anchored":[110],"in":[111,143],"skeleton":[112,282],"sequences":[113],"multi-stream":[115,235,260],"fused":[116,261],"spatiotemporal":[117,262],"graph":[118,126,156,263],"convolutional":[119,127,157,264],"networks.":[120],"Developed":[121],"upon":[122],"foundation":[124],"networks,":[128,158],"this":[129],"method":[130],"encompasses":[131],"three":[132],"refinements":[134],"tailored":[135],"ameliorate":[137],"extant":[138],"challenges.":[139],"First":[140],"foremost,":[142],"response":[144],"complex":[147],"task":[148],"capturing":[150],"distant":[151],"interdependencies":[152,171],"among":[153],"nodes":[154],"we":[159,207,232],"incorporate":[160],"spatial":[162,184],"attention":[163,203,211],"module.":[164],"This":[165,213],"module":[166],"adeptly":[167],"encapsulates":[168],"long-term":[169],"node":[170],"via":[172],"precision-laden":[173],"positional":[174],"information,":[175],"thus":[176],"engendering":[177],"interconnections":[178],"that":[179],"span":[180],"diverse":[181],"temporal":[182],"contexts.":[185],"Subsequently,":[186],"elevate":[188],"discernment":[190,217],"channel":[192,210],"information":[193,226],"network":[196,265],"optimize":[199],"allocation":[201],"distinct":[205],"channels,":[206],"introduce":[208],"mechanism.":[212],"augmentation":[214],"fortifies":[215],"motion-related":[219],"features.":[220],"Lastly,":[221],"confronting":[222],"lacuna":[224],"gaps":[227],"prevalent":[228],"single-stream":[230],"deploy":[233],"fusion":[236],"methodology":[237],"fortify":[239],"model":[240],"outputs,":[241],"ultimately":[242],"fostering":[243],"more":[244],"precise":[245],"prognostications":[246],"concerning":[247],"action":[248],"classifications.":[249],"Empirical":[250],"results":[251],"bear":[252],"testament":[253],"efficacy":[256],"proposed":[259],"paradigm":[266],"skeleton-centric":[268],"recognition,":[270],"evincing":[271],"pinnacle":[273],"accuracy":[275,287],"96.0%":[277],"on":[278,290],"expansive":[280],"NTU-RGB+D":[281],"dataset,":[283],"alongside":[284],"zenithal":[286],"37.3%":[289],"Kinetics-Skeleton":[292],"dataset\u2014emanating":[293],"from":[294],"RGB":[295],"data":[296],"furthered":[298],"through":[299],"pose":[300],"estimation.":[301]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":9}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}