{"id":"https://openalex.org/W4411551779","doi":"https://doi.org/10.1109/cscwd64889.2025.11033370","title":"Isolated Sign Language Recognition Based on Heterogeneous Attention and Wavelet Temporal Graph Convolutional Networks","display_name":"Isolated Sign Language Recognition Based on Heterogeneous Attention and Wavelet Temporal Graph Convolutional Networks","publication_year":2025,"publication_date":"2025-05-05","ids":{"openalex":"https://openalex.org/W4411551779","doi":"https://doi.org/10.1109/cscwd64889.2025.11033370"},"language":"en","primary_location":{"id":"doi:10.1109/cscwd64889.2025.11033370","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscwd64889.2025.11033370","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 28th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","raw_type":"proceedings-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/A5012844185","display_name":"Haoyang Zhai","orcid":"https://orcid.org/0000-0002-1046-2554"},"institutions":[{"id":"https://openalex.org/I165745306","display_name":"Southwest Petroleum University","ror":"https://ror.org/03h17x602","country_code":"CN","type":"education","lineage":["https://openalex.org/I165745306"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haoyang Zhai","raw_affiliation_strings":["School of Computer Science and Software Engineering, Southwest Petroleum University,Chengdu,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Software Engineering, Southwest Petroleum University,Chengdu,China","institution_ids":["https://openalex.org/I165745306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035524155","display_name":"Bing Wang","orcid":"https://orcid.org/0000-0002-3920-4081"},"institutions":[{"id":"https://openalex.org/I165745306","display_name":"Southwest Petroleum University","ror":"https://ror.org/03h17x602","country_code":"CN","type":"education","lineage":["https://openalex.org/I165745306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Wang","raw_affiliation_strings":["School of Computer Science and Software Engineering, Southwest Petroleum University,Chengdu,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Software Engineering, Southwest Petroleum University,Chengdu,China","institution_ids":["https://openalex.org/I165745306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043254113","display_name":"Zhenling Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I4210107720","display_name":"CentraleSup\u00e9lec","ror":"https://ror.org/019tcpt25","country_code":"FR","type":"facility","lineage":["https://openalex.org/I277688954","https://openalex.org/I4210107720"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Zhenling Chen","raw_affiliation_strings":["Paris-Saclay University,CentraleSupélec,Paris,France"],"affiliations":[{"raw_affiliation_string":"Paris-Saclay University,CentraleSupélec,Paris,France","institution_ids":["https://openalex.org/I4210107720","https://openalex.org/I277688954"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077904833","display_name":"Guangxue Wang","orcid":"https://orcid.org/0009-0003-3920-7236"},"institutions":[{"id":"https://openalex.org/I165745306","display_name":"Southwest Petroleum University","ror":"https://ror.org/03h17x602","country_code":"CN","type":"education","lineage":["https://openalex.org/I165745306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangxue Wang","raw_affiliation_strings":["School of Computer Science and Software Engineering, Southwest Petroleum University,Chengdu,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Software Engineering, Southwest Petroleum University,Chengdu,China","institution_ids":["https://openalex.org/I165745306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102785817","display_name":"Siyuan Jing","orcid":"https://orcid.org/0000-0001-8064-8226"},"institutions":[{"id":"https://openalex.org/I2802584641","display_name":"Leshan Normal University","ror":"https://ror.org/036cvz290","country_code":"CN","type":"education","lineage":["https://openalex.org/I2802584641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siyuan Jing","raw_affiliation_strings":["Leshan Normal University,Sichuan Province Key Laboratory of Philosophy and Social Science for Language Intelligence in Special Education,Leshan,China"],"affiliations":[{"raw_affiliation_string":"Leshan Normal University,Sichuan Province Key Laboratory of Philosophy and Social Science for Language Intelligence in Special Education,Leshan,China","institution_ids":["https://openalex.org/I2802584641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5116493742","display_name":"Peng Jin","orcid":"https://orcid.org/0000-0001-9287-6410"},"institutions":[{"id":"https://openalex.org/I2802584641","display_name":"Leshan Normal University","ror":"https://ror.org/036cvz290","country_code":"CN","type":"education","lineage":["https://openalex.org/I2802584641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Jin","raw_affiliation_strings":["Leshan Normal University,Sichuan Province Key Laboratory of Philosophy and Social Science for Language Intelligence in Special Education,Leshan,China"],"affiliations":[{"raw_affiliation_string":"Leshan Normal University,Sichuan Province Key Laboratory of Philosophy and Social Science for Language Intelligence in Special Education,Leshan,China","institution_ids":["https://openalex.org/I2802584641"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5012844185"],"corresponding_institution_ids":["https://openalex.org/I165745306"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17015021,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"526","last_page":"532"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9997000098228455,"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":0.9997000098228455,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9907000064849854,"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/T11285","display_name":"Hearing Impairment and Communication","score":0.9549000263214111,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7986288070678711},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5154953598976135},{"id":"https://openalex.org/keywords/sign-language","display_name":"Sign language","score":0.5007369518280029},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4688837230205536},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38816019892692566},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.36241745948791504},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.34900063276290894},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2362084686756134},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.07003346085548401}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7986288070678711},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5154953598976135},{"id":"https://openalex.org/C522192633","wikidata":"https://www.wikidata.org/wiki/Q34228","display_name":"Sign language","level":2,"score":0.5007369518280029},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4688837230205536},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38816019892692566},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.36241745948791504},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.34900063276290894},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2362084686756134},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.07003346085548401},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cscwd64889.2025.11033370","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscwd64889.2025.11033370","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 28th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1549358575","https://openalex.org/W2554231256","https://openalex.org/W2804005492","https://openalex.org/W2907328135","https://openalex.org/W2915661711","https://openalex.org/W2948058585","https://openalex.org/W2963494934","https://openalex.org/W2988396473","https://openalex.org/W3046544838","https://openalex.org/W3157506437","https://openalex.org/W3182659197","https://openalex.org/W3184215204","https://openalex.org/W3188599010","https://openalex.org/W3208937263","https://openalex.org/W4205517074","https://openalex.org/W4255272544","https://openalex.org/W4289752563","https://openalex.org/W4296049105","https://openalex.org/W4321276105","https://openalex.org/W4381795215","https://openalex.org/W4400073289","https://openalex.org/W4402856323","https://openalex.org/W4403887646","https://openalex.org/W6632978964","https://openalex.org/W6751684112","https://openalex.org/W6795140394","https://openalex.org/W6850405308","https://openalex.org/W6872679824"],"related_works":["https://openalex.org/W4379621602","https://openalex.org/W4294690766","https://openalex.org/W2159815235","https://openalex.org/W3204710839","https://openalex.org/W2511227366","https://openalex.org/W4313558729","https://openalex.org/W3180640527","https://openalex.org/W4252111416","https://openalex.org/W4248380062","https://openalex.org/W4389372142"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"an":[3,184],"isolated":[4],"sign":[5,125],"language":[6],"recognition":[7,24],"method":[8,44,182],"based":[9],"on":[10,174],"a":[11,41,132,197],"heterogeneous":[12,133],"attention":[13,134,142],"mechanism":[14,135],"and":[15,77,84,103,118,121,140,144,148],"Wavelet":[16],"Temporal":[17],"Graph":[18],"Convolutional":[19],"Networks":[20],"(WT-GCN)":[21],"to":[22,45,79,108,113,158],"improve":[23],"accuracy":[25,187],"in":[26,37,124,163],"human-computer":[27],"interaction":[28],"scenarios.":[29],"Although":[30],"the":[31,34,63,71,110,155,164,175,180,191],"winner":[32],"of":[33,66,137,188],"ISLR":[35],"challenge":[36],"CVPR":[38],"2021":[39],"used":[40],"multi-stream":[42,186],"fusion":[43],"integrate":[46,81],"results":[47,173],"from":[48],"four":[49],"streams":[50,76],"(Joint":[51],"Stream,":[52,54,57],"Bone":[53,58,165,192],"Joint":[55],"Motion":[56,59,166,193],"Stream),":[60],"it":[61],"limited":[62],"effective":[64],"utilization":[65],"feature":[67],"information":[68],"by":[69],"using":[70],"same":[72],"network":[73],"across":[74],"multiple":[75],"failed":[78],"fully":[80],"both":[82],"short-term":[83],"long-term":[85,122],"temporal":[86,99,116],"information.":[87],"To":[88],"address":[89],"this,":[90],"we":[91,130],"introduce":[92,131],"WT-GCN,":[93],"which":[94,153],"combines":[95],"wavelet":[96],"convolution":[97],"with":[98,190],"convolutional":[100,105],"networks":[101,106],"(TCN)":[102],"graph":[104],"(GCN)":[107],"enhance":[109],"model's":[111],"ability":[112,157],"capture":[114,159],"multi-scale":[115],"features":[117,162],"model":[119],"short-":[120],"dependencies":[123],"motions":[126],"more":[127],"accurately.":[128],"Additionally,":[129],"composed":[136],"Spatial,":[138],"Temporal,":[139],"Channel-wise":[141],"(STC)":[143],"Median-Optimized":[145],"Compound":[146],"Spatial":[147],"Channel":[149],"Attention":[150],"Block":[151],"(MOCCS),":[152],"enhances":[154],"network's":[156],"skeletal":[160],"motion":[161],"(BM)":[167],"Stream":[168,194],"through":[169],"median":[170],"pooling.":[171],"Experimental":[172],"AUTSL":[176],"dataset":[177],"show":[178],"that":[179],"proposed":[181],"achieves":[183],"overall":[185],"96.34%,":[189],"reaching":[195],"93.89%,":[196],"1.4%":[198],"improvement":[199],"over":[200],"existing":[201],"methods.":[202]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}