{"id":"https://openalex.org/W7128915575","doi":"https://doi.org/10.1007/s44196-026-01183-5","title":"Interactive AI Virtual Human Image Recognition Based on Computer Vision","display_name":"Interactive AI Virtual Human Image Recognition Based on Computer Vision","publication_year":2026,"publication_date":"2026-02-15","ids":{"openalex":"https://openalex.org/W7128915575","doi":"https://doi.org/10.1007/s44196-026-01183-5"},"language":"en","primary_location":{"id":"doi:10.1007/s44196-026-01183-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44196-026-01183-5","pdf_url":null,"source":{"id":"https://openalex.org/S190680769","display_name":"International Journal of Computational Intelligence Systems","issn_l":"1875-6883","issn":["1875-6883","1875-6891"],"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence Systems","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/s44196-026-01183-5","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090329356","display_name":"Huichao Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]},{"id":"https://openalex.org/I4210126248","display_name":"Jiyang College of Zhejiang A&F University","ror":"https://ror.org/032sv9d33","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210126248"]},{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]},{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huichao Guo","raw_affiliation_strings":["School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan, 430000, Hubei, China","Zhejiang Business College, Hangzhou, 310000, Zhejiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan, 430000, Hubei, China","institution_ids":["https://openalex.org/I196699116","https://openalex.org/I43922553","https://openalex.org/I74525822"]},{"raw_affiliation_string":"Zhejiang Business College, Hangzhou, 310000, Zhejiang, China","institution_ids":["https://openalex.org/I4210126248"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056334506","display_name":"Runhua Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]},{"id":"https://openalex.org/I4210126248","display_name":"Jiyang College of Zhejiang A&F University","ror":"https://ror.org/032sv9d33","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210126248"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Runhua Huang","raw_affiliation_strings":["The Chinese University of HongKong, Shenzhen, 518100, Guangdong, China","Zhejiang Business College, Hangzhou, 310000, Zhejiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Chinese University of HongKong, Shenzhen, 518100, Guangdong, China","institution_ids":["https://openalex.org/I4210116924"]},{"raw_affiliation_string":"Zhejiang Business College, Hangzhou, 310000, Zhejiang, China","institution_ids":["https://openalex.org/I4210126248"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126032998","display_name":"Zhe Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210126248","display_name":"Jiyang College of Zhejiang A&F University","ror":"https://ror.org/032sv9d33","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210126248"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhe Wu","raw_affiliation_strings":["Zhejiang Business College, Hangzhou, 310000, Zhejiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang Business College, Hangzhou, 310000, Zhejiang, China","institution_ids":["https://openalex.org/I4210126248"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5126007061","display_name":"Ming Lei","orcid":null},"institutions":[{"id":"https://openalex.org/I4210126248","display_name":"Jiyang College of Zhejiang A&F University","ror":"https://ror.org/032sv9d33","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210126248"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Lei","raw_affiliation_strings":["Zhejiang Business College, Hangzhou, 310000, Zhejiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang Business College, Hangzhou, 310000, Zhejiang, China","institution_ids":["https://openalex.org/I4210126248"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5090329356"],"corresponding_institution_ids":["https://openalex.org/I196699116","https://openalex.org/I4210126248","https://openalex.org/I43922553","https://openalex.org/I74525822"],"apc_list":{"value":1390,"currency":"GBP","value_usd":1704},"apc_paid":{"value":1390,"currency":"GBP","value_usd":1704},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27003499,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"19","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":0.10350000113248825,"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":0.10350000113248825,"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/T14413","display_name":"Advanced Technologies in Various Fields","score":0.10080000013113022,"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/T12260","display_name":"Educational Technology and Pedagogy","score":0.09359999746084213,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.5519999861717224},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.5302000045776367},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.4772000014781952},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.47189998626708984},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.43700000643730164},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4115999937057495},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4083000123500824},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.4002000093460083},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.3944999873638153}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8579000234603882},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6820999979972839},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.5519999861717224},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5407999753952026},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.5302000045776367},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.4772000014781952},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.47189998626708984},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.43700000643730164},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4115999937057495},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4083000123500824},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.4002000093460083},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.3944999873638153},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3801000118255615},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.366100013256073},{"id":"https://openalex.org/C132900626","wikidata":"https://www.wikidata.org/wiki/Q7534733","display_name":"Sketch recognition","level":4,"score":0.3598000109195709},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.3490000069141388},{"id":"https://openalex.org/C150303390","wikidata":"https://www.wikidata.org/wiki/Q1983852","display_name":"Virtual actor","level":3,"score":0.3386000096797943},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.33559998869895935},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.32339999079704285},{"id":"https://openalex.org/C88799230","wikidata":"https://www.wikidata.org/wiki/Q3398329","display_name":"Three-dimensional face recognition","level":5,"score":0.3203999996185303},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.29820001125335693},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.29010000824928284},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2784000039100647},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.275299996137619},{"id":"https://openalex.org/C83248878","wikidata":"https://www.wikidata.org/wiki/Q344000","display_name":"Active appearance model","level":3,"score":0.2727999985218048},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.2718000113964081},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.25450000166893005},{"id":"https://openalex.org/C25344961","wikidata":"https://www.wikidata.org/wiki/Q192726","display_name":"Virtual machine","level":2,"score":0.25279998779296875}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s44196-026-01183-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44196-026-01183-5","pdf_url":null,"source":{"id":"https://openalex.org/S190680769","display_name":"International Journal of Computational Intelligence Systems","issn_l":"1875-6883","issn":["1875-6883","1875-6891"],"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:23bcf1f44204437d83cd3db2dd9fe9da","is_oa":true,"landing_page_url":"https://doaj.org/article/23bcf1f44204437d83cd3db2dd9fe9da","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":"International Journal of Computational Intelligence Systems, Vol 19, Iss 1 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s44196-026-01183-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44196-026-01183-5","pdf_url":null,"source":{"id":"https://openalex.org/S190680769","display_name":"International Journal of Computational Intelligence Systems","issn_l":"1875-6883","issn":["1875-6883","1875-6891"],"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W3132276786","https://openalex.org/W3137284029","https://openalex.org/W3162737204","https://openalex.org/W3168463823","https://openalex.org/W3194672963","https://openalex.org/W3215735748","https://openalex.org/W4223499953","https://openalex.org/W4283213885","https://openalex.org/W4288696358","https://openalex.org/W4292980177","https://openalex.org/W4295951577","https://openalex.org/W4302775088","https://openalex.org/W4306893738","https://openalex.org/W4307730507","https://openalex.org/W4308467154","https://openalex.org/W4312044727","https://openalex.org/W4312345918","https://openalex.org/W4315489468","https://openalex.org/W4315641272","https://openalex.org/W4321101505","https://openalex.org/W4321248360","https://openalex.org/W4321482228","https://openalex.org/W4321765060","https://openalex.org/W4366588310","https://openalex.org/W4379929801","https://openalex.org/W4380905903","https://openalex.org/W4382341312","https://openalex.org/W4384822009","https://openalex.org/W4386180266","https://openalex.org/W4389395682","https://openalex.org/W4390659346","https://openalex.org/W4391128508","https://openalex.org/W4391358311","https://openalex.org/W4391893984","https://openalex.org/W4392127883","https://openalex.org/W4392236953"],"related_works":[],"abstract_inverted_index":{"Existing":[0],"interactive":[1,33,166],"AI":[2],"(Artificial":[3],"Intelligence)":[4],"virtual":[5,83,198],"human":[6,199],"systems":[7],"mostly":[8],"rely":[9],"on":[10,71],"static":[11],"face":[12],"recognition,":[13],"which":[14,235],"makes":[15],"it":[16],"difficult":[17],"to":[18,80,100,112,129,149,195,200,259],"accurately":[19],"recognize":[20],"non-verbal":[21],"information":[22],"such":[23],"as":[24],"dynamic":[25,108],"expressions,":[26,61],"gestures,":[27,62],"and":[28,35,49,63,65,75,92,115,123,133,165,174,178,216,223,226,261,274],"postures,":[29],"resulting":[30],"in":[31,45,213,251],"delayed":[32],"responses":[34],"biased":[36],"situational":[37],"understanding.":[38],"Traditional":[39],"single-modal":[40],"recognition":[41,57,85,138,218,244],"methods":[42],"have":[43],"limitations":[44],"modeling":[46,152],"temporal":[47],"features":[48,170],"modal":[50,186],"fusion.":[51],"This":[52],"paper":[53],"proposes":[54],"a":[55,67,72,76,262],"multimodal":[56,263],"mechanism":[58,194],"that":[59,207],"integrates":[60],"postures":[64],"builds":[66],"feature-integration":[68],"framework":[69],"based":[70],"visual":[73,88],"Transformer":[74,182],"graph":[77,143],"convolutional":[78,144],"network":[79,145],"improve":[81],"the":[82,154,160,169,181,191,197,208,227],"human\u2019s":[84],"of":[86,139,153,162,171,210,241,249,257,268],"complex":[87,140],"signals.":[89],"First,":[90],"MobileFaceNet":[91],"Bi-LSTM":[93],"(Bidirectional":[94],"Long":[95],"Short-Term":[96],"Memory)":[97],"are":[98,127,176,188],"used":[99,148],"jointly":[101],"process":[102],"multi-frame":[103],"facial":[104],"image":[105],"sequences,":[106],"extracting":[107],"expression":[109],"change":[110],"trajectories":[111],"capture":[113],"continuity":[114],"small":[116],"emotional":[117],"fluctuations.":[118],"On":[119],"this":[120,211],"basis,":[121],"MediaPipe":[122],"HRNet":[124],"(High-Resolution":[125],"Network)":[126],"combined":[128],"extract":[130],"hand":[131],"keypoints":[132],"finger":[134],"spacing,":[135],"enabling":[136],"high-precision":[137],"gestures.":[141],"The":[142,185],"is":[146,220,233,236],"further":[147],"perform":[150],"topological":[151],"whole-body":[155],"skeletal":[156],"points,":[157],"thereby":[158],"completing":[159],"mapping":[161],"gesture":[163],"expressions":[164],"semantics.":[167],"Finally,":[168],"expression,":[172,214],"gesture,":[173,215],"posture":[175,217],"unified":[177],"integrated":[179],"through":[180],"encoding":[183],"structure.":[184],"weights":[187],"regulated":[189],"by":[190],"soft":[192],"attention":[193],"drive":[196],"generate":[201],"context-adaptive":[202],"feedback":[203],"behaviors.":[204],"Experiments":[205],"show":[206],"accuracy":[209,248],"method":[212],"tasks":[219],"93.7%,":[221],"92.4%,":[222],"94.0%,":[224],"respectively,":[225],"average":[228],"mAP":[229],"(mean":[230],"Average":[231],"Precision)":[232],"93.4%,":[234],"significantly":[237],"better":[238],"than":[239],"80.3%":[240],"ResNet-50.":[242],"Posture":[243],"still":[245],"maintains":[246],"an":[247,255],"88.6%":[250],"fast-motion":[252],"scenarios,":[253],"with":[254],"F1-score":[256],"up":[258],"0.93":[260],"fusion":[264],"module":[265],"stability":[266,273],"rate":[267],"94.4%,":[269],"verifying":[270],"its":[271],"cross-environment":[272],"real-time":[275],"interaction":[276],"capabilities.":[277]},"counts_by_year":[],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2026-02-15T00:00:00"}
