{"id":"https://openalex.org/W4413554940","doi":"https://doi.org/10.1109/thms.2025.3597964","title":"Variable Viewpoint Gesture Recognition Based on a Hybrid Graph Neural Network","display_name":"Variable Viewpoint Gesture Recognition Based on a Hybrid Graph Neural Network","publication_year":2025,"publication_date":"2025-08-25","ids":{"openalex":"https://openalex.org/W4413554940","doi":"https://doi.org/10.1109/thms.2025.3597964"},"language":"en","primary_location":{"id":"doi:10.1109/thms.2025.3597964","is_oa":false,"landing_page_url":"https://doi.org/10.1109/thms.2025.3597964","pdf_url":null,"source":{"id":"https://openalex.org/S2476799526","display_name":"IEEE Transactions on Human-Machine Systems","issn_l":"2168-2291","issn":["2168-2291","2168-2305"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Human-Machine Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024692170","display_name":"Shaoxin Sun","orcid":"https://orcid.org/0000-0002-4168-650X"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaoxin Sun","raw_affiliation_strings":["School of Automation, Chongqing University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-4168-650X","affiliations":[{"raw_affiliation_string":"School of Automation, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Guanghui Chen","orcid":"https://orcid.org/0009-0006-4778-4393"},"institutions":[{"id":"https://openalex.org/I4210156872","display_name":"Guizhou Institute of Technology","ror":"https://ror.org/05x510r30","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210156872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanghui Chen","raw_affiliation_strings":["School of Data Science, Guizhou Institute of Technology, Guiyang, China"],"raw_orcid":"https://orcid.org/0009-0006-4778-4393","affiliations":[{"raw_affiliation_string":"School of Data Science, Guizhou Institute of Technology, Guiyang, China","institution_ids":["https://openalex.org/I4210156872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053561890","display_name":"Xiaojie Su","orcid":"https://orcid.org/0000-0003-1802-0264"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojie Su","raw_affiliation_strings":["School of Automation, Chongqing University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0003-1802-0264","affiliations":[{"raw_affiliation_string":"School of Automation, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060444894","display_name":"Zhenshan Bing","orcid":"https://orcid.org/0000-0002-0896-2517"},"institutions":[{"id":"https://openalex.org/I308837","display_name":"Suzhou University of Science and Technology","ror":"https://ror.org/04en8wb91","country_code":"CN","type":"education","lineage":["https://openalex.org/I308837"]},{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenshan Bing","raw_affiliation_strings":["School of Intelligence Science and Technology, Nanjing University, Suzhou, Jiangsu, China"],"raw_orcid":"https://orcid.org/0000-0002-0896-2517","affiliations":[{"raw_affiliation_string":"School of Intelligence Science and Technology, Nanjing University, Suzhou, Jiangsu, China","institution_ids":["https://openalex.org/I308837","https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063781430","display_name":"Alois Knoll","orcid":"https://orcid.org/0000-0003-4840-076X"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Alois Knoll","raw_affiliation_strings":["Department of Informatics, Technical University of Munich, Munich, Germany"],"raw_orcid":"https://orcid.org/0000-0003-4840-076X","affiliations":[{"raw_affiliation_string":"Department of Informatics, Technical University of Munich, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9356,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.7700671,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"55","issue":"5","first_page":"686","last_page":"694"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T13731","display_name":"Advanced Computing and Algorithms","score":0.9289000034332275,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6119809150695801},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.5769791603088379},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.5753452181816101},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5012223720550537},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4661584794521332},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.4399343729019165},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43974146246910095},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36746180057525635},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.33026552200317383},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2354775071144104},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16390612721443176}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6119809150695801},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.5769791603088379},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.5753452181816101},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5012223720550537},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4661584794521332},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.4399343729019165},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43974146246910095},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36746180057525635},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.33026552200317383},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2354775071144104},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16390612721443176},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/thms.2025.3597964","is_oa":false,"landing_page_url":"https://doi.org/10.1109/thms.2025.3597964","pdf_url":null,"source":{"id":"https://openalex.org/S2476799526","display_name":"IEEE Transactions on Human-Machine Systems","issn_l":"2168-2291","issn":["2168-2291","2168-2305"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Human-Machine Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1146110891","display_name":null,"funder_award_id":"2024CDJCGJ-012","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G8092832300","display_name":null,"funder_award_id":"2024CDJGF-014","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2921151905","https://openalex.org/W2947821749","https://openalex.org/W3133521499","https://openalex.org/W3133995976","https://openalex.org/W3158415928","https://openalex.org/W4206253309","https://openalex.org/W4207019911","https://openalex.org/W4226109135","https://openalex.org/W4281787679","https://openalex.org/W4285114839","https://openalex.org/W4285183690","https://openalex.org/W4291034555","https://openalex.org/W4296709137","https://openalex.org/W4297094621","https://openalex.org/W4297862698","https://openalex.org/W4319341491","https://openalex.org/W4319999824","https://openalex.org/W4392926955","https://openalex.org/W4405031925","https://openalex.org/W4405153715","https://openalex.org/W4405235318"],"related_works":["https://openalex.org/W2537963312","https://openalex.org/W2066003895","https://openalex.org/W2902873204","https://openalex.org/W2185750513","https://openalex.org/W2010878661","https://openalex.org/W3147379364","https://openalex.org/W2026258298","https://openalex.org/W3204639664","https://openalex.org/W2970836791","https://openalex.org/W2989699735"],"abstract_inverted_index":{"The":[0,121],"variations":[1],"in":[2,171],"camera":[3],"view":[4],"and":[5,17,29,48,68,92,103,141,151,159,196],"hand":[6,57],"spatial":[7,90],"pose":[8],"are":[9,86,154],"the":[10,14,53,80,112,127,131,138,145,163,169,180,189],"main":[11],"reasons":[12],"for":[13],"low":[15,192],"accuracy":[16],"poor":[18],"robustness":[19],"of":[20,56,144,191],"gesture":[21,31,65,84,118,183],"recognition":[22,32,119,184],"systems.":[23],"In":[24,167],"order":[25],"to":[26,61,78,89,110,162,179],"achieve":[27],"accurate":[28],"stable":[30],"with":[33,105],"variable":[34,181],"viewpoint,":[35],"this":[36,172],"article":[37,173],"carries":[38],"out":[39],"research":[40],"based":[41],"on":[42,126],"3-D":[43,54,71,133],"non-Euclidean":[44,72,134],"vector":[45,73,135],"graph":[46,49,74,98,106,115,136],"features":[47,85],"neural":[50,108,116],"networks.":[51],"First,":[52],"information":[55],"joints":[58],"is":[59,76,101,174],"collected":[60],"construct":[62],"a":[63,69,96],"graph-structured":[64],"feature":[66],"dataset,":[67,165],"joint-based":[70,132],"method":[75,170],"proposed":[77],"solve":[79],"problem":[81],"that":[82],"similar":[83],"overly":[87],"sensitive":[88],"position":[91],"angle":[93],"changes.":[94],"Then,":[95],"Multi-Head":[97],"attention":[99],"network":[100,109,117],"designed":[102],"combined":[104],"convolutional":[107],"explore":[111],"optimal":[113,146],"hybrid":[114],"model.":[120],"experimental":[122],"results":[123],"show":[124],"that,":[125],"dataset":[128],"processed":[129],"by":[130,156],"method,":[137],"training,":[139],"testing,":[140],"validation":[142],"accuracies":[143],"model":[147],"reach":[148],"97.07%,":[149],"96.95%,":[150],"87.06%,":[152],"which":[153],"increased":[155],"18.46%,":[157],"18.88%,":[158],"44.23%":[160],"compared":[161],"original":[164],"respectively.":[166],"conclusion,":[168],"not":[175],"only":[176],"more":[177],"robust":[178],"viewpoint":[182],"problem,":[185],"but":[186],"also":[187],"has":[188],"advantages":[190],"computational":[193],"resource":[194],"requirement":[195],"high":[197],"real-time":[198],"performance.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
