{"id":"https://openalex.org/W4283019958","doi":"https://doi.org/10.1145/3513004","title":"DEAF-BSL: Deep lEArning Framework for British Sign Language recognition","display_name":"DEAF-BSL: Deep lEArning Framework for British Sign Language recognition","publication_year":2022,"publication_date":"2022-06-17","ids":{"openalex":"https://openalex.org/W4283019958","doi":"https://doi.org/10.1145/3513004"},"language":"en","primary_location":{"id":"doi:10.1145/3513004","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3513004","pdf_url":null,"source":{"id":"https://openalex.org/S4306421405","display_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","issn_l":"2375-4699","issn":["2375-4699","2375-4702"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","raw_type":"journal-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/A5108053908","display_name":"Krishan Kumar","orcid":"https://orcid.org/0000-0002-9296-1655"},"institutions":[{"id":"https://openalex.org/I185052938","display_name":"Hemwati Nandan Bahuguna Garhwal University","ror":"https://ror.org/00mvp1q86","country_code":"IN","type":"education","lineage":["https://openalex.org/I185052938"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Krishan Kumar","raw_affiliation_strings":["Department of Computer Science &amp; Engineering, NIT Uttarakhand, Srinagar Garhwal, Uttarakhand, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science &amp; Engineering, NIT Uttarakhand, Srinagar Garhwal, Uttarakhand, India","institution_ids":["https://openalex.org/I185052938"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5108053908"],"corresponding_institution_ids":["https://openalex.org/I185052938"],"apc_list":null,"apc_paid":null,"fwci":1.4565,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.84071649,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"21","issue":"5","first_page":"1","last_page":"14"},"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":0.9943000078201294,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9937000274658203,"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/sign-language","display_name":"Sign language","score":0.7739506959915161},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7226797342300415},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.6354997158050537},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5905070900917053},{"id":"https://openalex.org/keywords/lexicon","display_name":"Lexicon","score":0.5811856389045715},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.5541408658027649},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5355154871940613},{"id":"https://openalex.org/keywords/sign","display_name":"Sign (mathematics)","score":0.5226771235466003},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4790940582752228},{"id":"https://openalex.org/keywords/spelling","display_name":"Spelling","score":0.44195619225502014},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.44027796387672424},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.41057533025741577},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.2669180631637573}],"concepts":[{"id":"https://openalex.org/C522192633","wikidata":"https://www.wikidata.org/wiki/Q34228","display_name":"Sign language","level":2,"score":0.7739506959915161},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7226797342300415},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.6354997158050537},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5905070900917053},{"id":"https://openalex.org/C2778121359","wikidata":"https://www.wikidata.org/wiki/Q8096","display_name":"Lexicon","level":2,"score":0.5811856389045715},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.5541408658027649},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5355154871940613},{"id":"https://openalex.org/C139676723","wikidata":"https://www.wikidata.org/wiki/Q1193832","display_name":"Sign (mathematics)","level":2,"score":0.5226771235466003},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4790940582752228},{"id":"https://openalex.org/C2777801307","wikidata":"https://www.wikidata.org/wiki/Q2088390","display_name":"Spelling","level":2,"score":0.44195619225502014},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.44027796387672424},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.41057533025741577},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.2669180631637573},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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:10.1145/3513004","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3513004","pdf_url":null,"source":{"id":"https://openalex.org/S4306421405","display_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","issn_l":"2375-4699","issn":["2375-4699","2375-4702"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.8700000047683716}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1565938589","https://openalex.org/W1589508797","https://openalex.org/W1965483705","https://openalex.org/W1969595749","https://openalex.org/W1974700302","https://openalex.org/W1978543979","https://openalex.org/W1985408783","https://openalex.org/W1985891935","https://openalex.org/W1994530392","https://openalex.org/W2022215984","https://openalex.org/W2083587404","https://openalex.org/W2087455143","https://openalex.org/W2098400987","https://openalex.org/W2108274355","https://openalex.org/W2136922672","https://openalex.org/W2150823941","https://openalex.org/W2186384153","https://openalex.org/W2211722331","https://openalex.org/W2400258006","https://openalex.org/W2487852963","https://openalex.org/W2519750370","https://openalex.org/W2531530917","https://openalex.org/W2540980527","https://openalex.org/W2746923101","https://openalex.org/W4255949318","https://openalex.org/W6732896667"],"related_works":["https://openalex.org/W2161008081","https://openalex.org/W2100947578","https://openalex.org/W1555832326","https://openalex.org/W4298186509","https://openalex.org/W2556702969","https://openalex.org/W217221262","https://openalex.org/W4308478915","https://openalex.org/W4389049376","https://openalex.org/W2893683540","https://openalex.org/W1986488374"],"abstract_inverted_index":{"The":[0,145,173,208],"recent":[1],"development":[2],"of":[3,13,39,75,134,183],"disability":[4],"studies":[5],"in":[6,226],"academic":[7],"bodies":[8],"has":[9],"expedited":[10],"the":[11,22,42,73,82,105,119,141,149,166],"promotion":[12],"investigation":[14],"on":[15,140,165],"disability.":[16],"With":[17],"computer-aided":[18],"tools,":[19],"communication":[20],"between":[21],"impaired":[23],"person":[24],"and":[25,100,130,158,170,200,223],"someone":[26],"who":[27],"does":[28],"not":[29],"understand":[30],"sign":[31,46,219],"language":[32,47],"could":[33],"be":[34],"accessible.":[35],"A":[36],"large":[37,181],"number":[38],"people":[40],"across":[41],"world":[43],"are":[44],"using":[45,112],"(e.g.,":[48],"British":[49],"Sign":[50,55,60],"Language":[51,56,61],"(BSL)":[52],",":[53,58,63],"Asian":[54],"(ASL)":[57],"Indian":[59],"(ISL)":[62],"etc.)":[64],"with":[65,152],"hand":[66,214],"gestures":[67],"for":[68,132,179],"communication.":[69],"In":[70,102],"BSL":[71,86,106,142,167,227],"recognition,":[72,220],"involvement":[74],"both":[76],"hands":[77],"overlapping":[78],"each":[79],"other":[80],"becomes":[81],"main":[83],"challenge.":[84],"Moreover,":[85],"comprises":[87],"ambiguous":[88],"signs":[89],"concerning":[90],"viewpoint.":[91],"However,":[92],"existing":[93,150],"traditional":[94],"techniques":[95],"seem":[96],"in-stable,":[97],"less":[98,224],"accurate,":[99],"inefficient.":[101],"this":[103],"work,":[104],"fingerspelling":[107],"alphabet":[108],"recognition":[109],"problem":[110],"explores":[111],"a":[113,180],"Deep":[114],"learning":[115],"framework":[116],"to":[117,128],"address":[118],"above-mentioned":[120],"concerns.":[121],"Convolutional":[122],"Neural":[123],"Network":[124],"(CNN)":[125],"is":[126],"employed":[127],"detect":[129],"recognize":[131],"classification":[133],"26":[135],"alphabets":[136],"after":[137],"being":[138],"trained":[139],"corpus":[143,168],"dataset.":[144],"proposed":[146],"work":[147],"outperforms":[148],"works":[151],"better":[153,163,176],"precision":[154],"(6%),":[155],"recall":[156],"(4%),":[157],"F-measure":[159],"(5\u0303%).":[160],"It":[161],"reported":[162],"results":[164],"dataset":[169],"webcam":[171],"videos.":[172],"model":[174],"achieved":[175],"accuracy":[177],"(98.0%)":[178],"lexicon":[182],"words":[184],"than":[185],"previous":[186],"models":[187],"(Goh":[188],"&amp;":[189],"Holden":[190],"[":[191,196,204],"6":[192],"]:":[193,198,206],"69.5%,":[194],"Rambhau":[195],"9":[197],"79.2%,":[199],"Liwicki":[201],"et":[202],"al.":[203],"8":[205],"92.5%).":[207],"3D":[209],"CNN-based":[210],"proposal":[211],"performs":[212],"robust":[213],"detection,":[215],"much":[216],"more":[217,221],"accurate":[218],"scalability,":[222],"ambiguity":[225],"finger-spelling":[228],"recognition.":[229]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
