{"id":"https://openalex.org/W2943447287","doi":"https://doi.org/10.1145/3313950.3313967","title":"Korean sign language recognition based on image and convolution neural network","display_name":"Korean sign language recognition based on image and convolution neural network","publication_year":2019,"publication_date":"2019-02-23","ids":{"openalex":"https://openalex.org/W2943447287","doi":"https://doi.org/10.1145/3313950.3313967","mag":"2943447287"},"language":"en","primary_location":{"id":"doi:10.1145/3313950.3313967","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3313950.3313967","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Image and Graphics Processing","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/A5080023376","display_name":"Hyojoo Shin","orcid":null},"institutions":[{"id":"https://openalex.org/I118373667","display_name":"Seoul National University of Science and Technology","ror":"https://ror.org/00chfja07","country_code":"KR","type":"education","lineage":["https://openalex.org/I118373667"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Hyojoo Shin","raw_affiliation_strings":["Seoul National University of Science and Technology, Nowongoo, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Seoul National University of Science and Technology, Nowongoo, Seoul, Korea","institution_ids":["https://openalex.org/I118373667"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112079770","display_name":"Woo Je Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I118373667","display_name":"Seoul National University of Science and Technology","ror":"https://ror.org/00chfja07","country_code":"KR","type":"education","lineage":["https://openalex.org/I118373667"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Woo Je Kim","raw_affiliation_strings":["Seoul National University of Science and Technology, Nowongoo, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Seoul National University of Science and Technology, Nowongoo, Seoul, Korea","institution_ids":["https://openalex.org/I118373667"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112141339","display_name":"Kyoung\u2010Ae Jang","orcid":null},"institutions":[{"id":"https://openalex.org/I118373667","display_name":"Seoul National University of Science and Technology","ror":"https://ror.org/00chfja07","country_code":"KR","type":"education","lineage":["https://openalex.org/I118373667"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kyoung-ae Jang","raw_affiliation_strings":["Seoul National University of Science and Technology, Nowongoo, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Seoul National University of Science and Technology, Nowongoo, Seoul, Korea","institution_ids":["https://openalex.org/I118373667"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5080023376"],"corresponding_institution_ids":["https://openalex.org/I118373667"],"apc_list":null,"apc_paid":null,"fwci":2.0328,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.86360774,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"52","last_page":"55"},"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":0.9914000034332275,"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/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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7821768522262573},{"id":"https://openalex.org/keywords/sign-language","display_name":"Sign language","score":0.7054518461227417},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6635873913764954},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6499395370483398},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6277726888656616},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.6274726986885071},{"id":"https://openalex.org/keywords/sign","display_name":"Sign (mathematics)","score":0.5881718397140503},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5861101746559143},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47780686616897583},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4452444911003113},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.41588473320007324},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3908492922782898},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3789563477039337},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1345890760421753},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.1192181408405304}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7821768522262573},{"id":"https://openalex.org/C522192633","wikidata":"https://www.wikidata.org/wiki/Q34228","display_name":"Sign language","level":2,"score":0.7054518461227417},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6635873913764954},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6499395370483398},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6277726888656616},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.6274726986885071},{"id":"https://openalex.org/C139676723","wikidata":"https://www.wikidata.org/wiki/Q1193832","display_name":"Sign (mathematics)","level":2,"score":0.5881718397140503},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5861101746559143},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47780686616897583},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4452444911003113},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.41588473320007324},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3908492922782898},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3789563477039337},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1345890760421753},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.1192181408405304},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3313950.3313967","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3313950.3313967","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Image and Graphics Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W581810680","https://openalex.org/W2049128941","https://openalex.org/W2115125276","https://openalex.org/W2612429929","https://openalex.org/W2772956121","https://openalex.org/W2792183839","https://openalex.org/W2991499508","https://openalex.org/W3183955545"],"related_works":["https://openalex.org/W2953234277","https://openalex.org/W2626256601","https://openalex.org/W147410782","https://openalex.org/W2900413183","https://openalex.org/W4390975304","https://openalex.org/W3022252430","https://openalex.org/W4287804464","https://openalex.org/W2810679507","https://openalex.org/W2964954556","https://openalex.org/W1989687946"],"abstract_inverted_index":{"The":[0,46,137],"purpose":[1],"of":[2,31,83,99,139],"this":[3,20,65],"paper":[4],"is":[5],"to":[6,42,69,110],"develop":[7,70],"a":[8,126],"convolution":[9,58,84,127],"neural":[10,59,128],"network":[11,60,129],"based":[12,61,130],"model":[13,62,72,116,131,142],"for":[14,27,56,73,79,91,132,146],"Korean":[15,32,74,133,150],"sign":[16,22,33,75,134,151],"language":[17,23,34,76,135],"recognition.":[18,136],"For":[19],"purpose,":[21],"videos":[24,37],"were":[25,38,51],"collected":[26],"10":[28,148],"selected":[29,149],"words":[30],"and":[35],"these":[36],"converted":[39],"into":[40],"images":[41,47],"have":[43,124],"9":[44,49],"frames.":[45],"with":[48],"frames":[50],"used":[52],"as":[53],"input":[54],"data":[55],"the":[57,71,81,92,97,100,115,121,140,147],"developed":[63,125,141],"in":[64,114],"study.":[66],"In":[67],"order":[68],"recognition,":[77],"experiments":[78,90],"determining":[80],"number":[82],"layers":[85],"was":[86,103,143],"first":[87],"performed.":[88,104],"Second,":[89],"pooling":[93],"which":[94],"intentionally":[95],"reduces":[96],"features":[98],"feature":[101],"map":[102],"Third,":[105],"we":[106,123],"conducted":[107],"an":[108],"experiment":[109],"reduce":[111],"over":[112],"fitting":[113],"learning":[117],"process.":[118],"Based":[119],"on":[120],"experiments,":[122],"accuracy":[138],"about":[144],"84.5%":[145],"words.":[152]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
