{"id":"https://openalex.org/W4416381277","doi":"https://doi.org/10.1109/access.2025.3631400","title":"LSE-FS-UVigo Dataset and Keypoint-Based Fingerspelling Recognition","display_name":"LSE-FS-UVigo Dataset and Keypoint-Based Fingerspelling Recognition","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4416381277","doi":"https://doi.org/10.1109/access.2025.3631400"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3631400","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3631400","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3631400","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5120507133","display_name":"Jose Luis Ruanova-Lea","orcid":"https://orcid.org/0009-0000-8990-2307"},"institutions":[{"id":"https://openalex.org/I6289922","display_name":"Universidade de Vigo","ror":"https://ror.org/05rdf8595","country_code":"ES","type":"education","lineage":["https://openalex.org/I6289922"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Jose Luis Ruanova-Lea","raw_affiliation_strings":["atlanTTic Research Center for Telecommunication Technologies, University of Vigo, Vigo, Spain"],"affiliations":[{"raw_affiliation_string":"atlanTTic Research Center for Telecommunication Technologies, University of Vigo, Vigo, Spain","institution_ids":["https://openalex.org/I6289922"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037470203","display_name":"Jos\u00e9 Luis Alba\u2010Castro","orcid":"https://orcid.org/0000-0001-6319-5915"},"institutions":[{"id":"https://openalex.org/I6289922","display_name":"Universidade de Vigo","ror":"https://ror.org/05rdf8595","country_code":"ES","type":"education","lineage":["https://openalex.org/I6289922"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jose Luis Alba-Castro","raw_affiliation_strings":["atlanTTic Research Center for Telecommunication Technologies, University of Vigo, Vigo, Spain"],"affiliations":[{"raw_affiliation_string":"atlanTTic Research Center for Telecommunication Technologies, University of Vigo, Vigo, Spain","institution_ids":["https://openalex.org/I6289922"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051040364","display_name":"Laura Doc\u00edo-Fern\u00e1ndez","orcid":"https://orcid.org/0000-0003-3838-2406"},"institutions":[{"id":"https://openalex.org/I6289922","display_name":"Universidade de Vigo","ror":"https://ror.org/05rdf8595","country_code":"ES","type":"education","lineage":["https://openalex.org/I6289922"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Laura Doc\u00edo-Fern\u00e1ndez","raw_affiliation_strings":["atlanTTic Research Center for Telecommunication Technologies, University of Vigo, Vigo, Spain"],"affiliations":[{"raw_affiliation_string":"atlanTTic Research Center for Telecommunication Technologies, University of Vigo, Vigo, Spain","institution_ids":["https://openalex.org/I6289922"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5120507133"],"corresponding_institution_ids":["https://openalex.org/I6289922"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.38670954,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"194548","last_page":"194561"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.993399977684021,"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":0.993399977684021,"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":0.0010999999940395355,"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/T10789","display_name":"Interactive and Immersive Displays","score":0.0010000000474974513,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/sign-language","display_name":"Sign language","score":0.6100000143051147},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.44269999861717224},{"id":"https://openalex.org/keywords/american-sign-language","display_name":"American Sign Language","score":0.4415000081062317},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.41609999537467957},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.38679999113082886},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.3700000047683716},{"id":"https://openalex.org/keywords/license","display_name":"License","score":0.3630000054836273},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.35839998722076416},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3513999879360199}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8676999807357788},{"id":"https://openalex.org/C522192633","wikidata":"https://www.wikidata.org/wiki/Q34228","display_name":"Sign language","level":2,"score":0.6100000143051147},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5874999761581421},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4595000147819519},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.44269999861717224},{"id":"https://openalex.org/C2776737515","wikidata":"https://www.wikidata.org/wiki/Q14759","display_name":"American Sign Language","level":3,"score":0.4415000081062317},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.41609999537467957},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.38679999113082886},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.3700000047683716},{"id":"https://openalex.org/C2780560020","wikidata":"https://www.wikidata.org/wiki/Q79719","display_name":"License","level":2,"score":0.3630000054836273},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.35839998722076416},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3513999879360199},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.33880001306533813},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.32989999651908875},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.32749998569488525},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.303600013256073},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.29739999771118164},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.28999999165534973},{"id":"https://openalex.org/C8521452","wikidata":"https://www.wikidata.org/wiki/Q203790","display_name":"Connectionism","level":3,"score":0.2888999879360199},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.2865999937057495},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.28610000014305115},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.2750000059604645},{"id":"https://openalex.org/C107953548","wikidata":"https://www.wikidata.org/wiki/Q1172433","display_name":"Wired glove","level":3,"score":0.26750001311302185},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.25369998812675476},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.25279998779296875}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2025.3631400","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3631400","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:5899f5ed9b16403e8195e1210605927c","is_oa":true,"landing_page_url":"https://doaj.org/article/5899f5ed9b16403e8195e1210605927c","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":"IEEE Access, Vol 13, Pp 194548-194561 (2025)","raw_type":"article"},{"id":"pmh:oai:www.investigo.biblioteca.uvigo.es:11093/10926","is_oa":true,"landing_page_url":"http://hdl.handle.net/11093/10926","pdf_url":null,"source":{"id":"https://openalex.org/S4377196408","display_name":"Investigo Institutional repository of UVigo (Universidade de Vigo)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I6289922","host_organization_name":"Universidade de Vigo","host_organization_lineage":["https://openalex.org/I6289922"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3631400","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3631400","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Continuous":[0],"fingerspelling":[1,34,153],"recognition":[2],"remains":[3],"a":[4,86,145],"challenging":[5],"task":[6],"due":[7],"to":[8,114,148],"rapid":[9],"hand":[10,56],"and":[11,15,49,140],"finger":[12],"movements,":[13],"coarticulation,":[14],"the":[16,28,108,119,125],"limited":[17],"availability":[18],"of":[19,32],"annotated":[20],"data":[21,69],"across":[22],"sign":[23],"languages.":[24],"We":[25],"introduce":[26],"LSE-FS-UVigo,":[27],"first":[29],"open":[30],"dataset":[31,53],"continuous":[33,152],"in":[35,151],"Spanish":[36],"Sign":[37,129],"Language,":[38],"containing":[39],"3,010":[40],"sequences":[41],"from":[42],"42":[43],"signers":[44],"recorded":[45],"under":[46,144],"both":[47],"studio":[48,72],"in-the-wild":[50],"conditions.":[51],"The":[52],"provides":[54],"three-dimensional":[55],"keypoints":[57],"extracted":[58],"using":[59,89],"MediaPipe":[60],"for":[61,70,74],"all":[62],"samples,":[63],"along":[64],"with":[65,97],"corresponding":[66],"RGB":[67],"video":[68],"1,029":[71],"sequences,":[73],"which":[75],"distribution":[76],"permission":[77],"has":[78],"been":[79],"granted.":[80],"In":[81],"this":[82],"paper,":[83],"we":[84],"establish":[85],"reproducible":[87],"benchmark":[88],"an":[90],"adaptive":[91],"spatio-temporal":[92],"graph":[93],"convolutional":[94],"network":[95],"trained":[96,123],"Connectionist":[98],"Temporal":[99],"Classification":[100],"loss.":[101],"Despite":[102],"relying":[103],"solely":[104],"on":[105,124],"skeletal":[106],"data,":[107],"model":[109,120],"achieves":[110],"competitive":[111],"performance":[112],"compared":[113],"video-based":[115],"approaches.":[116],"For":[117],"comparison,":[118],"was":[121],"also":[122],"larger":[126],"ChicagoFSWild+":[127],"American":[128],"Language":[130],"dataset,":[131],"where":[132],"it":[133],"attained":[134],"state-of-the-art":[135],"results.":[136],"All":[137],"recordings,":[138],"annotations,":[139],"code":[141],"are":[142],"released":[143],"permissive":[146],"license":[147],"promote":[149],"progress":[150],"recognition.":[154]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-11-10T00:00:00"}
