{"id":"https://openalex.org/W2943735055","doi":"https://doi.org/10.1145/3310986.3311011","title":"CNN and Traditional Classifiers Performance for Sign Language Recognition","display_name":"CNN and Traditional Classifiers Performance for Sign Language Recognition","publication_year":2019,"publication_date":"2019-01-25","ids":{"openalex":"https://openalex.org/W2943735055","doi":"https://doi.org/10.1145/3310986.3311011","mag":"2943735055"},"language":"en","primary_location":{"id":"doi:10.1145/3310986.3311011","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3310986.3311011","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Machine Learning and Soft Computing","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/A5020428105","display_name":"Sobia Fayyaz","orcid":null},"institutions":[{"id":"https://openalex.org/I929597975","display_name":"National University of Sciences and Technology","ror":"https://ror.org/03w2j5y17","country_code":"PK","type":"education","lineage":["https://openalex.org/I929597975"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Sobia Fayyaz","raw_affiliation_strings":["Department of Robotics and Artificial Intelligence, National University of Sciences and Technology, Islamabad, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Robotics and Artificial Intelligence, National University of Sciences and Technology, Islamabad, Pakistan","institution_ids":["https://openalex.org/I929597975"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101979667","display_name":"Yasar Ayaz","orcid":"https://orcid.org/0000-0002-2425-9063"},"institutions":[{"id":"https://openalex.org/I929597975","display_name":"National University of Sciences and Technology","ror":"https://ror.org/03w2j5y17","country_code":"PK","type":"education","lineage":["https://openalex.org/I929597975"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Yasar Ayaz","raw_affiliation_strings":["Department of Robotics and Artificial Intelligence, National University of Sciences and Technology, Islamabad, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Robotics and Artificial Intelligence, National University of Sciences and Technology, Islamabad, Pakistan","institution_ids":["https://openalex.org/I929597975"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I929597975"],"apc_list":null,"apc_paid":null,"fwci":0.744,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.63663496,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"192","last_page":"196"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9923999905586243,"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":0.9837999939918518,"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":0.8583261370658875},{"id":"https://openalex.org/keywords/sign-language","display_name":"Sign language","score":0.7273279428482056},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6828336119651794},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.6485952734947205},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6380066275596619},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6283873319625854},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5423605442047119},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.5403904914855957},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47428828477859497},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.4601287543773651},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.427890419960022},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4217957854270935},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3976057767868042},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3885675072669983},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34716957807540894},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.32175424695014954}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8583261370658875},{"id":"https://openalex.org/C522192633","wikidata":"https://www.wikidata.org/wiki/Q34228","display_name":"Sign language","level":2,"score":0.7273279428482056},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6828336119651794},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.6485952734947205},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6380066275596619},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6283873319625854},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5423605442047119},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.5403904914855957},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47428828477859497},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.4601287543773651},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.427890419960022},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4217957854270935},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3976057767868042},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3885675072669983},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34716957807540894},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.32175424695014954},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3310986.3311011","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3310986.3311011","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Machine Learning and Soft Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.7900000214576721}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2467325985","https://openalex.org/W2501399723","https://openalex.org/W2556171197","https://openalex.org/W4285719527","https://openalex.org/W6696179196"],"related_works":["https://openalex.org/W4308478915","https://openalex.org/W4389049376","https://openalex.org/W1986488374","https://openalex.org/W3040456104","https://openalex.org/W2902873204","https://openalex.org/W2185750513","https://openalex.org/W2010878661","https://openalex.org/W3147379364","https://openalex.org/W2026258298","https://openalex.org/W3204639664"],"abstract_inverted_index":{"Many":[0],"people":[1,83],"around":[2],"the":[3,63,85,102,131,203,225,240],"world":[4],"are":[5,189,213,247],"suffering":[6],"from":[7],"vocal":[8],"and":[9,12,78,112,128,138,162,167,184,198,229,232,256],"hearing":[10],"disabilities":[11],"they":[13],"communicate":[14],"with":[15,161,220,233],"others":[16],"by":[17],"actions":[18],"rather":[19],"than":[20,263],"speech.":[21],"They":[22],"prefer":[23],"sign":[24,60,68,106,157],"language":[25,36,69,107,158],"(hand":[26],"gestures)":[27],"to":[28,44,150,244],"convey":[29],"what":[30,55],"revolves":[31],"in":[32,47,84,202,250],"their":[33],"mind.":[34],"Every":[35],"has":[37],"some":[38,210],"set":[39],"of":[40,42,66,88,95,126,147,169,196,227],"rules":[41],"grammar":[43],"express":[45],"information":[46],"meaningful":[48],"way":[49],"but":[50,209],"not":[51],"everyone":[52],"can":[53,134],"recognize":[54],"is":[56,173,194],"being":[57,190],"conveyed":[58],"through":[59,118],"language.":[61],"Thus":[62],"automatic":[64],"translation":[65],"a":[67,93,175],"serves":[70],"as":[71,122],"basic":[72],"need":[73],"for":[74,81,105,178,216],"overcoming":[75],"many":[76,91,119],"difficulties":[77],"providing":[79,160,219],"convenience":[80],"impaired":[82],"developing":[86,101],"era":[87],"technology.":[89],"For":[90],"years,":[92],"lot":[94],"researchers":[96],"have":[97],"been":[98],"working":[99],"on":[100,156,239],"better":[103],"algorithm":[104],"communication":[108],"using":[109],"machine":[110],"learning":[111],"computer":[113],"vision":[114],"techniques":[115],"that":[116,205,217,253],"passes":[117],"stages":[120],"such":[121],"pre-processing,":[123],"segmentation,":[124],"extraction":[125],"features":[127,133],"classification.":[129],"But":[130],"efficient":[132],"produce":[135],"more":[136],"effective":[137],"accurate":[139],"results.":[140],"This":[141,172],"paper":[142,252],"aims":[143],"at":[144],"comparing":[145],"performance":[146,226],"different":[148],"classifiers":[149,212],"deep":[151],"convolutional":[152],"neural":[153],"network":[154],"(CNN)":[155],"dataset":[159,204],"without":[163,231],"local":[164],"feature":[165],"descriptor":[166,259],"bag":[168],"visual":[170],"words.":[171],"definitely":[174],"classification":[176],"task":[177],"which":[179],"CNN,":[180],"Multi-Layer":[181],"Perceptron":[182],"(MLP)":[183],"Support":[185],"Vector":[186],"Machine":[187],"(SVM)":[188],"widely":[191],"considered.":[192],"CNN":[193],"capable":[195,215],"extracting":[197],"representing":[199],"high-level":[200],"abstractions":[201],"results":[206],"good":[207,221],"accuracy":[208,262],"traditional":[211],"also":[214,248],"when":[218],"features.":[222],"We":[223],"evaluate":[224],"MLP":[228,255],"SVM":[230,257],"Speed":[234],"up":[235],"Robust":[236],"Features":[237],"(SURF)":[238],"same":[241],"data":[242],"given":[243],"CNN.":[245,264],"Results":[246],"discussed":[249],"this":[251],"shows":[254],"employing":[258],"gives":[260],"high":[261]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}