{"id":"https://openalex.org/W2895488603","doi":"https://doi.org/10.1109/3dtv.2018.8478467","title":"SIGN LANGUAGE RECOGNITION BASED ON HAND AND BODY SKELETAL DATA","display_name":"SIGN LANGUAGE RECOGNITION BASED ON HAND AND BODY SKELETAL DATA","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2895488603","doi":"https://doi.org/10.1109/3dtv.2018.8478467","mag":"2895488603"},"language":"en","primary_location":{"id":"doi:10.1109/3dtv.2018.8478467","is_oa":false,"landing_page_url":"https://doi.org/10.1109/3dtv.2018.8478467","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 - 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5036751601","display_name":"Dimitrios Konstantinidis","orcid":"https://orcid.org/0000-0002-7391-6875"},"institutions":[{"id":"https://openalex.org/I4210093649","display_name":"Information Technologies Institute","ror":"https://ror.org/0069akp70","country_code":"GR","type":"nonprofit","lineage":["https://openalex.org/I4210093649"]},{"id":"https://openalex.org/I4210134249","display_name":"Centre for Research and Technology Hellas","ror":"https://ror.org/03bndpq63","country_code":"GR","type":"facility","lineage":["https://openalex.org/I4210134249"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Dimitrios Konstantinidis","raw_affiliation_strings":["ITI-CERTH, Thessaloniki, 57001, Greece","ITI-CERTH, Thessaloniki, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ITI-CERTH, Thessaloniki, 57001, Greece","institution_ids":["https://openalex.org/I4210093649"]},{"raw_affiliation_string":"ITI-CERTH, Thessaloniki, Greece","institution_ids":["https://openalex.org/I4210093649","https://openalex.org/I4210134249"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080005547","display_name":"Kosmas Dimitropoulos","orcid":"https://orcid.org/0000-0003-1584-7047"},"institutions":[{"id":"https://openalex.org/I4210093649","display_name":"Information Technologies Institute","ror":"https://ror.org/0069akp70","country_code":"GR","type":"nonprofit","lineage":["https://openalex.org/I4210093649"]},{"id":"https://openalex.org/I4210134249","display_name":"Centre for Research and Technology Hellas","ror":"https://ror.org/03bndpq63","country_code":"GR","type":"facility","lineage":["https://openalex.org/I4210134249"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Kosmas Dimitropoulos","raw_affiliation_strings":["ITI-CERTH, Thessaloniki, 57001, Greece","ITI-CERTH, Thessaloniki, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ITI-CERTH, Thessaloniki, 57001, Greece","institution_ids":["https://openalex.org/I4210093649"]},{"raw_affiliation_string":"ITI-CERTH, Thessaloniki, Greece","institution_ids":["https://openalex.org/I4210093649","https://openalex.org/I4210134249"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071585254","display_name":"Petros Daras","orcid":"https://orcid.org/0000-0003-3814-6710"},"institutions":[{"id":"https://openalex.org/I4210093649","display_name":"Information Technologies Institute","ror":"https://ror.org/0069akp70","country_code":"GR","type":"nonprofit","lineage":["https://openalex.org/I4210093649"]},{"id":"https://openalex.org/I4210134249","display_name":"Centre for Research and Technology Hellas","ror":"https://ror.org/03bndpq63","country_code":"GR","type":"facility","lineage":["https://openalex.org/I4210134249"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Petros Daras","raw_affiliation_strings":["ITI-CERTH, Thessaloniki, 57001, Greece","ITI-CERTH, Thessaloniki, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ITI-CERTH, Thessaloniki, 57001, Greece","institution_ids":["https://openalex.org/I4210093649"]},{"raw_affiliation_string":"ITI-CERTH, Thessaloniki, Greece","institution_ids":["https://openalex.org/I4210093649","https://openalex.org/I4210134249"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":106,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9983999729156494,"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"}},{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9965000152587891,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/sign-language","display_name":"Sign language","score":0.9011877179145813},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.799896240234375},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.7816901206970215},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.7389106750488281},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7092046141624451},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5869009494781494},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5193918347358704},{"id":"https://openalex.org/keywords/sign","display_name":"Sign (mathematics)","score":0.5162956118583679},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5103370547294617},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.46220752596855164}],"concepts":[{"id":"https://openalex.org/C522192633","wikidata":"https://www.wikidata.org/wiki/Q34228","display_name":"Sign language","level":2,"score":0.9011877179145813},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.799896240234375},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.7816901206970215},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.7389106750488281},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7092046141624451},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5869009494781494},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5193918347358704},{"id":"https://openalex.org/C139676723","wikidata":"https://www.wikidata.org/wiki/Q1193832","display_name":"Sign (mathematics)","level":2,"score":0.5162956118583679},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5103370547294617},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.46220752596855164},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/3dtv.2018.8478467","is_oa":false,"landing_page_url":"https://doi.org/10.1109/3dtv.2018.8478467","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 - 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7200000286102295}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W997336062","https://openalex.org/W1686810756","https://openalex.org/W2039194975","https://openalex.org/W2085285323","https://openalex.org/W2133745857","https://openalex.org/W2309147534","https://openalex.org/W2311695748","https://openalex.org/W2324008548","https://openalex.org/W2344001629","https://openalex.org/W2485310399","https://openalex.org/W2530631923","https://openalex.org/W2554962499","https://openalex.org/W2559085405","https://openalex.org/W2587277634","https://openalex.org/W2612707971","https://openalex.org/W2755802490","https://openalex.org/W2962835968","https://openalex.org/W2963488642","https://openalex.org/W6637373629","https://openalex.org/W6733484633","https://openalex.org/W6736991635","https://openalex.org/W6744057656"],"related_works":["https://openalex.org/W4308478915","https://openalex.org/W2893683540","https://openalex.org/W1986488374","https://openalex.org/W3040456104","https://openalex.org/W2902873204","https://openalex.org/W2185750513","https://openalex.org/W4312416068","https://openalex.org/W3147379364","https://openalex.org/W2010878661","https://openalex.org/W2026258298"],"abstract_inverted_index":{"Sign":[0],"language":[1,44,97],"recognition":[2,45,71],"(SLR)":[3],"is":[4],"a":[5,92],"challenging,":[6],"but":[7],"highly":[8,67],"important":[9],"research":[10],"field":[11],"for":[12,42,69,77],"several":[13],"computer":[14],"vision":[15],"systems":[16],"that":[17,85],"attempt":[18],"to":[19,107],"facilitate":[20],"the":[21,24,75,100,111],"communication":[22],"among":[23],"deaf":[25],"and":[26,37,55],"hearing":[27],"impaired":[28],"people.":[29],"In":[30],"this":[31],"work,":[32],"we":[33],"propose":[34],"an":[35],"accurate":[36],"robust":[38],"deep":[39],"learning-based":[40],"methodology":[41,104],"sign":[43,96],"from":[46,60],"video":[47],"sequences.":[48],"Our":[49],"novel":[50],"method":[51],"relies":[52],"on":[53,91,116],"hand":[54],"body":[56],"skeletal":[57,72],"features":[58],"extracted":[59],"RGB":[61,117],"videos":[62],"and,":[63],"therefore,":[64],"it":[65],"acquires":[66],"discriminative":[68],"gesture":[70],"data":[73,83],"without":[74],"need":[76],"any":[78],"additional":[79],"equipment,":[80],"such":[81],"as":[82],"gloves,":[84],"may":[86],"restrict":[87],"signer's":[88],"movements.":[89],"Experimentation":[90],"large":[93],"publicly":[94],"available":[95],"dataset":[98],"reveals":[99],"superiority":[101],"of":[102,110],"our":[103],"with":[105],"respect":[106],"other":[108],"state":[109],"art":[112],"approaches":[113],"relying":[114],"solely":[115],"features.":[118]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":23},{"year":2022,"cited_by_count":18},{"year":2021,"cited_by_count":18},{"year":2020,"cited_by_count":14},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
