{"id":"https://openalex.org/W3152762260","doi":"https://doi.org/10.1109/ijcnn52387.2021.9534336","title":"LSFB-CONT and LSFB-ISOL: Two New Datasets for Vision-Based Sign Language Recognition","display_name":"LSFB-CONT and LSFB-ISOL: Two New Datasets for Vision-Based Sign Language Recognition","publication_year":2021,"publication_date":"2021-07-18","ids":{"openalex":"https://openalex.org/W3152762260","doi":"https://doi.org/10.1109/ijcnn52387.2021.9534336","mag":"3152762260"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn52387.2021.9534336","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9534336","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","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/A5010196754","display_name":"J\u00e9r\u00f4me Fink","orcid":"https://orcid.org/0000-0003-3925-7877"},"institutions":[{"id":"https://openalex.org/I149768937","display_name":"University of Namur","ror":"https://ror.org/03d1maw17","country_code":"BE","type":"education","lineage":["https://openalex.org/I149768937"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"Jerome Fink","raw_affiliation_strings":["Fac. of Computer Science, NaDI & NaLTT institutes, University of Namur, Namur, Belgium"],"affiliations":[{"raw_affiliation_string":"Fac. of Computer Science, NaDI & NaLTT institutes, University of Namur, Namur, Belgium","institution_ids":["https://openalex.org/I149768937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009919848","display_name":"Beno\u00eet Fr\u00e9nay\u202c","orcid":"https://orcid.org/0000-0002-7859-2750"},"institutions":[{"id":"https://openalex.org/I149768937","display_name":"University of Namur","ror":"https://ror.org/03d1maw17","country_code":"BE","type":"education","lineage":["https://openalex.org/I149768937"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Benoit Frenay","raw_affiliation_strings":["Fac. of Computer Science, NaDI institute, University of Namur, Namur, Belgium"],"affiliations":[{"raw_affiliation_string":"Fac. of Computer Science, NaDI institute, University of Namur, Namur, Belgium","institution_ids":["https://openalex.org/I149768937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027113719","display_name":"Laurence Meurant","orcid":"https://orcid.org/0000-0003-4555-4499"},"institutions":[{"id":"https://openalex.org/I149768937","display_name":"University of Namur","ror":"https://ror.org/03d1maw17","country_code":"BE","type":"education","lineage":["https://openalex.org/I149768937"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Laurence Meurant","raw_affiliation_strings":["Fac. of Philosophy & Letters, NaLTT institute, University of Namur, Namur"],"affiliations":[{"raw_affiliation_string":"Fac. of Philosophy & Letters, NaLTT institute, University of Namur, Namur","institution_ids":["https://openalex.org/I149768937"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070165042","display_name":"Anthony Cleve","orcid":null},"institutions":[{"id":"https://openalex.org/I149768937","display_name":"University of Namur","ror":"https://ror.org/03d1maw17","country_code":"BE","type":"education","lineage":["https://openalex.org/I149768937"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Anthony Cleve","raw_affiliation_strings":["Fac. of Computer Science, NaDI institute, University of Namur, Namur, Belgium"],"affiliations":[{"raw_affiliation_string":"Fac. of Computer Science, NaDI institute, University of Namur, Namur, Belgium","institution_ids":["https://openalex.org/I149768937"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5010196754"],"corresponding_institution_ids":["https://openalex.org/I149768937"],"apc_list":null,"apc_paid":null,"fwci":2.1516,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.86782561,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":1.0,"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":1.0,"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":0.994700014591217,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9930999875068665,"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/leverage","display_name":"Leverage (statistics)","score":0.8580317497253418},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7699570655822754},{"id":"https://openalex.org/keywords/sign-language","display_name":"Sign language","score":0.7541089653968811},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5610090494155884},{"id":"https://openalex.org/keywords/sign","display_name":"Sign (mathematics)","score":0.5379583835601807},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5228638648986816},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.48438721895217896},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.43457308411598206},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.43182867765426636},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.393081933259964},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0714021623134613},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.050708889961242676}],"concepts":[{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.8580317497253418},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7699570655822754},{"id":"https://openalex.org/C522192633","wikidata":"https://www.wikidata.org/wiki/Q34228","display_name":"Sign language","level":2,"score":0.7541089653968811},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5610090494155884},{"id":"https://openalex.org/C139676723","wikidata":"https://www.wikidata.org/wiki/Q1193832","display_name":"Sign (mathematics)","level":2,"score":0.5379583835601807},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5228638648986816},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.48438721895217896},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.43457308411598206},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.43182867765426636},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.393081933259964},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0714021623134613},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.050708889961242676},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn52387.2021.9534336","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9534336","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.unamur.be:openaire_cris_publications/a8138b18-1340-42ce-b8cf-be3c80a16546","is_oa":false,"landing_page_url":"https://researchportal.unamur.be/en/publications/a8138b18-1340-42ce-b8cf-be3c80a16546","pdf_url":null,"source":{"id":"https://openalex.org/S4406922457","display_name":"Repository of the University of Namur","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Fink, J, Fr\u00e9nay, B, Meurant, L & Cleve, A 2021, LSFB-CONT and LSFB-ISOL : Two New Datasets for Vision-Based Sign Language Recognition. in Proceedings of the 2021 International Joint Conference on Neural Networks (IJCNN 2021). IEEE Computer Society Press.","raw_type":"contributionToPeriodical"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6800000071525574,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1947481528","https://openalex.org/W2096976709","https://openalex.org/W2097501508","https://openalex.org/W2108598243","https://openalex.org/W2122399640","https://openalex.org/W2122476475","https://openalex.org/W2123697922","https://openalex.org/W2161755782","https://openalex.org/W2168392347","https://openalex.org/W2250689755","https://openalex.org/W2337252826","https://openalex.org/W2346219687","https://openalex.org/W2802954634","https://openalex.org/W2887051120","https://openalex.org/W2903314716","https://openalex.org/W2938315188","https://openalex.org/W2962835968","https://openalex.org/W2962851944","https://openalex.org/W2963524571","https://openalex.org/W2970971581","https://openalex.org/W2981531407","https://openalex.org/W2986687971","https://openalex.org/W3022360907","https://openalex.org/W3045437443","https://openalex.org/W4295312788","https://openalex.org/W6637373629","https://openalex.org/W6685133223","https://openalex.org/W6691592925","https://openalex.org/W6756891207","https://openalex.org/W6761266706","https://openalex.org/W6766978945","https://openalex.org/W6781480279"],"related_works":["https://openalex.org/W2383111961","https://openalex.org/W2365952365","https://openalex.org/W2352448290","https://openalex.org/W2380820513","https://openalex.org/W2913146933","https://openalex.org/W2372385138","https://openalex.org/W4296359239","https://openalex.org/W2101155126","https://openalex.org/W2043093291","https://openalex.org/W1989687946"],"abstract_inverted_index":{"While":[0],"significant":[1],"progress":[2],"have":[3],"been":[4],"made":[5],"in":[6,25],"the":[7,15,76,105],"field":[8],"of":[9,30,63,108,110],"Natural":[10],"Language":[11,20],"Processing":[12],"(NLP),":[13],"leading":[14],"commercially":[16],"available":[17],"products,":[18],"Sign":[19],"Recognition":[21],"(SLR)":[22],"is":[23],"still":[24,97],"its":[26],"infancy.":[27],"The":[28,88],"lack":[29,98],"large-scale":[31],"sign":[32,112],"language":[33],"datasets":[34],"makes":[35],"it":[36],"hard":[37],"to":[38,103],"leverage":[39],"new":[40],"Deep":[41],"Learning":[42],"methods.":[43],"In":[44],"this":[45],"paper,":[46],"we":[47],"introduce":[48],"LSFB-CONT,":[49],"a":[50,61,111],"large":[51],"scale":[52],"dataset":[53],"suited":[54],"for":[55,65,94],"continuous":[56],"SLR":[57,69],"along":[58],"with":[59,82],"LSFB-ISOL,":[60],"subset":[62],"LSFB-CONT":[64],"isolated":[66],"SLR.":[67],"Baseline":[68],"experiments":[70],"are":[71,80],"conducted":[72],"on":[73,85],"LSFB-ISOL":[74],"and":[75],"reached":[77],"accuracy":[78],"measures":[79],"compared":[81],"those":[83],"obtained":[84],"previous":[86],"datasets.":[87],"results":[89],"suggest":[90],"that":[91],"state-of-the-art":[92],"models":[93],"action":[95],"recognition":[96],"sufficient":[99],"internal":[100],"representation":[101],"power":[102],"capture":[104],"high":[106],"level":[107],"variations":[109],"language.":[113]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}
