{"id":"https://openalex.org/W2904518066","doi":"https://doi.org/10.1109/ist.2018.8577085","title":"A Deep Learning Approach for Analyzing Video and Skeletal Features in Sign Language Recognition","display_name":"A Deep Learning Approach for Analyzing Video and Skeletal Features in Sign Language Recognition","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2904518066","doi":"https://doi.org/10.1109/ist.2018.8577085","mag":"2904518066"},"language":"en","primary_location":{"id":"doi:10.1109/ist.2018.8577085","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ist.2018.8577085","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Imaging Systems and Techniques (IST)","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":["Information Technologies Institute CERTH, Thessaloniki, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Technologies Institute 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":["Information Technologies Institute CERTH, Thessaloniki, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Technologies Institute 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":["Information Technologies Institute CERTH, Thessaloniki, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Technologies Institute 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":60,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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/T11285","display_name":"Hearing Impairment and Communication","score":0.9897000193595886,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9843999743461609,"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/computer-science","display_name":"Computer science","score":0.8260351419448853},{"id":"https://openalex.org/keywords/sign-language","display_name":"Sign language","score":0.7626945972442627},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5540805459022522},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.5126027464866638},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5101435780525208},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5085986852645874},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.48285919427871704},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4537024199962616},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.45286625623703003},{"id":"https://openalex.org/keywords/meaning","display_name":"Meaning (existential)","score":0.4444178342819214},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.4315837323665619},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.42415130138397217},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3211123049259186},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2010282576084137},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06523329019546509},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.06293690204620361}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8260351419448853},{"id":"https://openalex.org/C522192633","wikidata":"https://www.wikidata.org/wiki/Q34228","display_name":"Sign language","level":2,"score":0.7626945972442627},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5540805459022522},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.5126027464866638},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5101435780525208},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5085986852645874},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.48285919427871704},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4537024199962616},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.45286625623703003},{"id":"https://openalex.org/C2780876879","wikidata":"https://www.wikidata.org/wiki/Q3054749","display_name":"Meaning (existential)","level":2,"score":0.4444178342819214},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.4315837323665619},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.42415130138397217},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3211123049259186},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2010282576084137},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06523329019546509},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.06293690204620361},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ist.2018.8577085","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ist.2018.8577085","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Imaging Systems and Techniques (IST)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W231548716","https://openalex.org/W997336062","https://openalex.org/W1506441995","https://openalex.org/W1536367493","https://openalex.org/W1686810756","https://openalex.org/W1968688469","https://openalex.org/W2014233635","https://openalex.org/W2024499104","https://openalex.org/W2039194975","https://openalex.org/W2085285323","https://openalex.org/W2133745857","https://openalex.org/W2250689755","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/W2560474170","https://openalex.org/W2587277634","https://openalex.org/W2612707971","https://openalex.org/W2755802490","https://openalex.org/W2895488603","https://openalex.org/W2963488642","https://openalex.org/W6609058028","https://openalex.org/W6637373629","https://openalex.org/W6691592925","https://openalex.org/W6733484633","https://openalex.org/W6737954372","https://openalex.org/W6755579905"],"related_works":["https://openalex.org/W2171116555","https://openalex.org/W4281553171","https://openalex.org/W2123374136","https://openalex.org/W2900363363","https://openalex.org/W3098068165","https://openalex.org/W1987421842","https://openalex.org/W2097144653","https://openalex.org/W1935875823","https://openalex.org/W1504288058","https://openalex.org/W1608643120"],"abstract_inverted_index":{"Sign":[0],"language":[1,107],"recognition":[2],"(SLR)":[3],"refers":[4],"to":[5,69,81,86],"the":[6,16,41,57,83,88,92,110,117],"classification":[7],"of":[8,43,60,119],"signs":[9],"with":[10,112],"a":[11,30,70,98],"specific":[12],"meaning":[13],"performed":[14],"by":[15],"deaf":[17],"and/or":[18],"hearing-impaired":[19],"people":[20],"in":[21,35,56,63,79],"their":[22],"everyday":[23],"communication.":[24],"In":[25],"this":[26],"work,":[27],"we":[28,37,74],"propose":[29,97],"deep":[31],"learning":[32],"based":[33],"framework,":[34],"which":[36,64],"examine":[38],"and":[39,46,49,53,96,109,123],"analyze":[40],"contribution":[42],"video":[44,67,124],"(image":[45],"optical":[47],"flow)":[48],"skeletal":[50,122],"(body,":[51],"hand":[52],"face)":[54],"features":[55,125],"challenging":[58],"task":[59],"isolated":[61],"SLR,":[62],"each":[65],"signed":[66],"corresponds":[68],"single":[71],"word.":[72],"Moreover,":[73],"employ":[75],"various":[76,93],"fusion":[77],"schemes":[78],"order":[80],"identify":[82],"optimal":[84],"way":[85],"combine":[87],"information":[89],"obtained":[90],"from":[91],"feature":[94],"representations":[95],"robust":[99],"SLR":[100,114,127],"methodology.":[101],"Our":[102],"experimentation":[103],"on":[104],"two":[105],"sign":[106],"datasets":[108],"comparison":[111],"state-of-the-art":[113],"methods":[115],"reveals":[116],"superiority":[118],"optimally":[120],"combining":[121],"for":[126],"tasks.":[128]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
