{"id":"https://openalex.org/W4394827020","doi":"https://doi.org/10.1109/tii.2024.3378834","title":"Seq\u03b1GAN: Sign Language Sequence Generation Based on Variational and Adversarial Learning","display_name":"Seq\u03b1GAN: Sign Language Sequence Generation Based on Variational and Adversarial Learning","publication_year":2024,"publication_date":"2024-04-15","ids":{"openalex":"https://openalex.org/W4394827020","doi":"https://doi.org/10.1109/tii.2024.3378834"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2024.3378834","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2024.3378834","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","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/A5100699344","display_name":"Qinkun Xiao","orcid":"https://orcid.org/0000-0002-4967-6613"},"institutions":[{"id":"https://openalex.org/I4210110558","display_name":"Xi'an Technological University","ror":"https://ror.org/01t8prc81","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210110558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinkun Xiao","raw_affiliation_strings":["Electronics Information Engineering Department, Xi&#x0027;an Technological University, Xi&#x0027;an, China"],"raw_orcid":"https://orcid.org/0000-0002-4967-6613","affiliations":[{"raw_affiliation_string":"Electronics Information Engineering Department, Xi&#x0027;an Technological University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I4210110558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030233909","display_name":"Lu Li","orcid":"https://orcid.org/0000-0001-9193-931X"},"institutions":[{"id":"https://openalex.org/I4210110558","display_name":"Xi'an Technological University","ror":"https://ror.org/01t8prc81","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210110558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Li","raw_affiliation_strings":["Electronics Information Engineering Department, Xi&#x0027;an Technological University, Xi&#x0027;an, China"],"raw_orcid":"https://orcid.org/0000-0001-9193-931X","affiliations":[{"raw_affiliation_string":"Electronics Information Engineering Department, Xi&#x0027;an Technological University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I4210110558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080858828","display_name":"Yilin Zhu","orcid":"https://orcid.org/0000-0002-5704-4501"},"institutions":[{"id":"https://openalex.org/I4210110558","display_name":"Xi'an Technological University","ror":"https://ror.org/01t8prc81","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210110558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yilin Zhu","raw_affiliation_strings":["Electronics Information Engineering Department, Xi&#x0027;an Technological University, Xi&#x0027;an, China"],"raw_orcid":"https://orcid.org/0000-0002-5704-4501","affiliations":[{"raw_affiliation_string":"Electronics Information Engineering Department, Xi&#x0027;an Technological University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I4210110558"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210110558"],"apc_list":null,"apc_paid":null,"fwci":1.0266,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.7377572,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"20","issue":"7","first_page":"9320","last_page":"9329"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9998000264167786,"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":0.9998000264167786,"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/T11285","display_name":"Hearing Impairment and Communication","score":0.9765999913215637,"subfield":{"id":"https://openalex.org/subfields/3204","display_name":"Developmental and Educational Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9336000084877014,"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/adversarial-system","display_name":"Adversarial system","score":0.6399782299995422},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.634555459022522},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.606888473033905},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5228862166404724},{"id":"https://openalex.org/keywords/sign","display_name":"Sign (mathematics)","score":0.4559839069843292},{"id":"https://openalex.org/keywords/sign-language","display_name":"Sign language","score":0.44845882058143616},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3533366918563843},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.33345043659210205},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27752119302749634},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.23551905155181885},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.077747642993927},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.07712370157241821}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6399782299995422},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.634555459022522},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.606888473033905},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5228862166404724},{"id":"https://openalex.org/C139676723","wikidata":"https://www.wikidata.org/wiki/Q1193832","display_name":"Sign (mathematics)","level":2,"score":0.4559839069843292},{"id":"https://openalex.org/C522192633","wikidata":"https://www.wikidata.org/wiki/Q34228","display_name":"Sign language","level":2,"score":0.44845882058143616},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3533366918563843},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.33345043659210205},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27752119302749634},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.23551905155181885},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.077747642993927},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.07712370157241821},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2024.3378834","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2024.3378834","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G6844821413","display_name":"\u57fa\u4e8e\u89c6\u89c9\u53ca\u56fe\u6a21\u578b\u7684\u8fde\u7eed\u624b\u8bed\u8bc6\u522b\u7814\u7a76","funder_award_id":"61671362","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7879472498","display_name":null,"funder_award_id":"62071366","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1959608418","https://openalex.org/W2125389028","https://openalex.org/W2624918875","https://openalex.org/W2898043227","https://openalex.org/W2962717182","https://openalex.org/W2963684088","https://openalex.org/W3004835408","https://openalex.org/W3092288641","https://openalex.org/W3120604548","https://openalex.org/W3200167504","https://openalex.org/W4200125619","https://openalex.org/W4213302450","https://openalex.org/W4220734517","https://openalex.org/W4225433975","https://openalex.org/W4283642383","https://openalex.org/W4297808408","https://openalex.org/W4312973876","https://openalex.org/W4321512520","https://openalex.org/W4381938231","https://openalex.org/W4385381600","https://openalex.org/W4387539649","https://openalex.org/W4390321749","https://openalex.org/W4390725546","https://openalex.org/W4391594087","https://openalex.org/W6621378261","https://openalex.org/W6638116569","https://openalex.org/W6639118987","https://openalex.org/W6640963894","https://openalex.org/W6685352114","https://openalex.org/W6685480099","https://openalex.org/W6739625446","https://openalex.org/W6794360930","https://openalex.org/W6842802441"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4310988119","https://openalex.org/W4285226279","https://openalex.org/W1989687946"],"abstract_inverted_index":{"Recent":[0],"studies":[1],"on":[2,9,115],"sign":[3,40],"language":[4,41],"recognition":[5],"(SLR)":[6],"mainly":[7],"focus":[8],"deaf":[10],"individuals":[11,27],"communicating":[12],"with":[13,31],"those":[14],"who":[15],"can":[16],"hear.":[17],"However,":[18],"less":[19],"attention":[20],"has":[21],"been":[22],"given":[23],"to":[24,28,93],"enable":[25],"hearing":[26],"effectively":[29],"communicate":[30],"the":[32,59,120],"deaf,":[33],"especially":[34],"when":[35],"they":[36],"do":[37],"not":[38],"understand":[39],"(SL).":[42],"To":[43],"overcome":[44],"this,":[45],"we":[46],"introduce":[47],"Seq\u03b1GAN,":[48],"a":[49],"unique":[50],"SL":[51,117],"sequence":[52],"generator.":[53],"This":[54],"tool":[55],"is":[56],"different":[57],"from":[58],"standard":[60],"variational":[61,89],"autoencoder":[62],"(VAE)":[63],"+":[64],"generative":[65],"adversarial":[66,91],"networks":[67],"(GAN)":[68],"model":[69],"used":[70],"commonly":[71],"for":[72,84],"creating":[73],"images.":[74],"Instead,":[75],"our":[76],"approach":[77],"fuses":[78],"conditional":[79,82],"VAE":[80],"and":[81,90],"GAN":[83],"generating":[85],"sequences.":[86],"Seq\u03b1GAN":[87],"merges":[88],"learning":[92],"create":[94],"versatile,":[95],"recognizable":[96],"data,":[97],"which":[98],"helps":[99],"avoid":[100],"mode":[101],"collapse.":[102],"The":[103],"generated":[104],"data":[105],"could":[106],"enhance":[107],"SLR":[108],"performance":[109],"by":[110],"supplementing":[111],"existing":[112],"resources.":[113],"Tests":[114],"well-established":[116],"datasets":[118],"confirm":[119],"effectiveness":[121],"of":[122],"this":[123],"new":[124],"skeleton-based":[125],"SLG":[126],"model.":[127]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-21T08:15:58.654021","created_date":"2025-10-10T00:00:00"}
