{"id":"https://openalex.org/W4402957983","doi":"https://doi.org/10.1145/3691573.3691613","title":"Fine-Tuning a Video Masked Autoencoder to Develop an Augmented Reality Application for Brazilian Sign Language Interpretation","display_name":"Fine-Tuning a Video Masked Autoencoder to Develop an Augmented Reality Application for Brazilian Sign Language Interpretation","publication_year":2024,"publication_date":"2024-09-29","ids":{"openalex":"https://openalex.org/W4402957983","doi":"https://doi.org/10.1145/3691573.3691613"},"language":"en","primary_location":{"id":"doi:10.1145/3691573.3691613","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3691573.3691613","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symposium on Virtual and Augmented Reality","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/A5027736168","display_name":"Rodrigo Z. Fanucchi","orcid":"https://orcid.org/0000-0002-6843-250X"},"institutions":[{"id":"https://openalex.org/I68106152","display_name":"Universidade Federal de Goi\u00e1s","ror":"https://ror.org/0039d5757","country_code":"BR","type":"education","lineage":["https://openalex.org/I68106152"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Rodrigo Zempulski Fanucchi","raw_affiliation_strings":["Federal University of Goi\u00e1s, Federal University of Goi\u00e1s, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Goi\u00e1s, Federal University of Goi\u00e1s, Brazil","institution_ids":["https://openalex.org/I68106152"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080739504","display_name":"Arlindo Rodrigues Galv\u00e3o Filho","orcid":"https://orcid.org/0000-0003-2151-8039"},"institutions":[{"id":"https://openalex.org/I68106152","display_name":"Universidade Federal de Goi\u00e1s","ror":"https://ror.org/0039d5757","country_code":"BR","type":"education","lineage":["https://openalex.org/I68106152"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Arlindo Rodrigues Galv\u00e3o Junior","raw_affiliation_strings":["Federal University of Goi\u00e1s, Federal University of Goi\u00e1s, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Goi\u00e1s, Federal University of Goi\u00e1s, Brazil","institution_ids":["https://openalex.org/I68106152"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114236296","display_name":"G. D. Marques","orcid":null},"institutions":[{"id":"https://openalex.org/I68106152","display_name":"Universidade Federal de Goi\u00e1s","ror":"https://ror.org/0039d5757","country_code":"BR","type":"education","lineage":["https://openalex.org/I68106152"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Gabriel da Mata Marques","raw_affiliation_strings":["Federal University of Goi\u00e1s, Federal University of Goi\u00e1s, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Goi\u00e1s, Federal University of Goi\u00e1s, Brazil","institution_ids":["https://openalex.org/I68106152"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111345859","display_name":"Lucas Brand\u00e3o Rodrigues","orcid":null},"institutions":[{"id":"https://openalex.org/I68106152","display_name":"Universidade Federal de Goi\u00e1s","ror":"https://ror.org/0039d5757","country_code":"BR","type":"education","lineage":["https://openalex.org/I68106152"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Lucas Brand\u00e3o Rodrigues","raw_affiliation_strings":["Federal University of Goi\u00e1s, Federal University of Goi\u00e1s, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Goi\u00e1s, Federal University of Goi\u00e1s, Brazil","institution_ids":["https://openalex.org/I68106152"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038260547","display_name":"Anderson da Silva Soares","orcid":"https://orcid.org/0000-0002-2967-6077"},"institutions":[{"id":"https://openalex.org/I68106152","display_name":"Universidade Federal de Goi\u00e1s","ror":"https://ror.org/0039d5757","country_code":"BR","type":"education","lineage":["https://openalex.org/I68106152"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Anderson da Silva Soares","raw_affiliation_strings":["Federal University of Goi\u00e1s, Federal University of Goi\u00e1s, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Goi\u00e1s, Federal University of Goi\u00e1s, Brazil","institution_ids":["https://openalex.org/I68106152"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070350214","display_name":"Anderson S. Soares","orcid":"https://orcid.org/0000-0002-4927-2221"},"institutions":[{"id":"https://openalex.org/I68106152","display_name":"Universidade Federal de Goi\u00e1s","ror":"https://ror.org/0039d5757","country_code":"BR","type":"education","lineage":["https://openalex.org/I68106152"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Telma Woerle Lima Soares","raw_affiliation_strings":["Federal University of Goi\u00e1s, Federal University of Goi\u00e1s, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Goi\u00e1s, Federal University of Goi\u00e1s, Brazil","institution_ids":["https://openalex.org/I68106152"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5027736168"],"corresponding_institution_ids":["https://openalex.org/I68106152"],"apc_list":null,"apc_paid":null,"fwci":1.1167,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.78490401,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"275","last_page":"278"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9733999967575073,"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/T10914","display_name":"Tactile and Sensory Interactions","score":0.9715999960899353,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7367100119590759},{"id":"https://openalex.org/keywords/interpretation","display_name":"Interpretation (philosophy)","score":0.7122794985771179},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.6816498041152954},{"id":"https://openalex.org/keywords/sign-language","display_name":"Sign language","score":0.6399257183074951},{"id":"https://openalex.org/keywords/sign","display_name":"Sign (mathematics)","score":0.5800080299377441},{"id":"https://openalex.org/keywords/augmented-reality","display_name":"Augmented reality","score":0.5382129549980164},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4786173701286316},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42081204056739807},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.27079498767852783},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08182308077812195},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.08042088150978088},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.05951538681983948}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7367100119590759},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.7122794985771179},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.6816498041152954},{"id":"https://openalex.org/C522192633","wikidata":"https://www.wikidata.org/wiki/Q34228","display_name":"Sign language","level":2,"score":0.6399257183074951},{"id":"https://openalex.org/C139676723","wikidata":"https://www.wikidata.org/wiki/Q1193832","display_name":"Sign (mathematics)","level":2,"score":0.5800080299377441},{"id":"https://openalex.org/C153715457","wikidata":"https://www.wikidata.org/wiki/Q254183","display_name":"Augmented reality","level":2,"score":0.5382129549980164},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4786173701286316},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42081204056739807},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.27079498767852783},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08182308077812195},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.08042088150978088},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.05951538681983948},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3691573.3691613","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3691573.3691613","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symposium on Virtual and Augmented Reality","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5699999928474426,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2110640136","https://openalex.org/W2912886600","https://openalex.org/W3115729363","https://openalex.org/W3134889809","https://openalex.org/W3148209143","https://openalex.org/W4224054210","https://openalex.org/W4313156423","https://openalex.org/W4313855689","https://openalex.org/W4387904013"],"related_works":["https://openalex.org/W3013693939","https://openalex.org/W2159052453","https://openalex.org/W2566616303","https://openalex.org/W3131327266","https://openalex.org/W2734887215","https://openalex.org/W4297051394","https://openalex.org/W2752972570","https://openalex.org/W2145836866","https://openalex.org/W2803255133","https://openalex.org/W1989687946"],"abstract_inverted_index":{"Approximately":[0],"5%":[1],"of":[2,9],"the":[3,13,61,99,130],"Brazilian":[4,85,104],"population":[5],"experiences":[6],"some":[7],"level":[8],"hearing":[10,28],"loss.":[11],"Over":[12],"years,":[14],"various":[15],"methods":[16,51],"have":[17],"been":[18],"proposed":[19],"to":[20,123],"facilitate":[21],"communication":[22,45],"between":[23],"individuals":[24],"with":[25,42,125],"and":[26,107],"without":[27,48],"disabilities.":[29,49],"Typically,":[30],"these":[31],"solutions":[32],"focus":[33],"on":[34,53],"developing":[35],"techniques":[36],"or":[37,56,90],"mechanisms":[38],"that":[39,82],"help":[40],"people":[41],"disabilities":[43],"understand":[44],"from":[46],"those":[47],"Most":[50],"rely":[52],"neural":[54],"networks":[55],"similar":[57],"architectures,":[58],"often":[59],"neglecting":[60],"large":[62],"vision":[63],"models":[64],"developed":[65],"in":[66,129],"recent":[67],"years.":[68],"In":[69],"this":[70],"paper,":[71],"we":[72,97],"propose":[73],"a":[74,78,109],"high-level":[75],"design":[76],"for":[77,103,133],"head-mounted":[79],"device":[80],"(HMD)":[81],"can":[83],"translate":[84],"Sign":[86,105],"Language":[87,106],"into":[88],"spoken":[89],"written":[91],"words.":[92],"As":[93],"an":[94],"initial":[95],"result,":[96],"used":[98],"MINDS-Libras":[100],"video":[101],"dataset":[102],"fine-tuned":[108],"Vision":[110],"Transformer":[111],"architecture":[112],"known":[113],"as":[114],"VideoMAE,":[115],"achieving":[116],"promising":[117],"results.":[118],"The":[119],"accuracy":[120],"reached":[121],"up":[122],"84%":[124],"only":[126],"50":[127],"videos":[128],"training":[131],"subset":[132],"each":[134],"word.":[135]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}