{"id":"https://openalex.org/W1994167600","doi":"https://doi.org/10.1109/fuzz-ieee.2012.6251155","title":"Thai sign language translation system using upright speed-up robust feature and c-means clustering","display_name":"Thai sign language translation system using upright speed-up robust feature and c-means clustering","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W1994167600","doi":"https://doi.org/10.1109/fuzz-ieee.2012.6251155","mag":"1994167600"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee.2012.6251155","is_oa":false,"landing_page_url":"http://doi.org/10.1109/fuzz-ieee.2012.6251155","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Fuzzy Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.1109/fuzz-ieee.2012.6251155","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073610314","display_name":"Phonkrit Chanda","orcid":null},"institutions":[{"id":"https://openalex.org/I48076826","display_name":"Chiang Mai University","ror":"https://ror.org/05m2fqn25","country_code":"TH","type":"education","lineage":["https://openalex.org/I48076826"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"Phonkrit Chanda","raw_affiliation_strings":["Computer Engineering Department, Faculty of Engineering, Chiang Mai University, Thailand"],"affiliations":[{"raw_affiliation_string":"Computer Engineering Department, Faculty of Engineering, Chiang Mai University, Thailand","institution_ids":["https://openalex.org/I48076826"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084209719","display_name":"Sansanee Auephanwiriyakul","orcid":"https://orcid.org/0000-0002-6639-7165"},"institutions":[{"id":"https://openalex.org/I48076826","display_name":"Chiang Mai University","ror":"https://ror.org/05m2fqn25","country_code":"TH","type":"education","lineage":["https://openalex.org/I48076826"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Sansanee Auephanwiriyakul","raw_affiliation_strings":["Computer Engineering Department, Faculty of Engineering, Biomedical Engineering Center, Chiang Mai University, Thailand"],"affiliations":[{"raw_affiliation_string":"Computer Engineering Department, Faculty of Engineering, Biomedical Engineering Center, Chiang Mai University, Thailand","institution_ids":["https://openalex.org/I48076826"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013485138","display_name":"Nipon Theera\u2010Umpon","orcid":"https://orcid.org/0000-0002-2951-9610"},"institutions":[{"id":"https://openalex.org/I48076826","display_name":"Chiang Mai University","ror":"https://ror.org/05m2fqn25","country_code":"TH","type":"education","lineage":["https://openalex.org/I48076826"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Nipon Theera-Umpon","raw_affiliation_strings":["Electrical Engineering Department, Faculty of Engineering, Biomedical Engineering Center, Chiang Mai University, Thailand"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, Faculty of Engineering, Biomedical Engineering Center, Chiang Mai University, Thailand","institution_ids":["https://openalex.org/I48076826"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5073610314"],"corresponding_institution_ids":["https://openalex.org/I48076826"],"apc_list":null,"apc_paid":null,"fwci":0.5896,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.67486656,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9702000021934509,"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":0.96670001745224,"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/computer-science","display_name":"Computer science","score":0.7042689919471741},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6861943006515503},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.6455239653587341},{"id":"https://openalex.org/keywords/translation-system","display_name":"Translation system","score":0.6348515748977661},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6210293173789978},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.595880925655365},{"id":"https://openalex.org/keywords/sign","display_name":"Sign (mathematics)","score":0.5691021084785461},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5374380350112915},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.420663982629776},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.1776549220085144},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15916645526885986}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7042689919471741},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6861943006515503},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.6455239653587341},{"id":"https://openalex.org/C2992676002","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Translation system","level":3,"score":0.6348515748977661},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6210293173789978},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.595880925655365},{"id":"https://openalex.org/C139676723","wikidata":"https://www.wikidata.org/wiki/Q1193832","display_name":"Sign (mathematics)","level":2,"score":0.5691021084785461},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5374380350112915},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.420663982629776},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.1776549220085144},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15916645526885986},{"id":"https://openalex.org/C202751555","wikidata":"https://www.wikidata.org/wiki/Q221681","display_name":"In vitro","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"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":2,"locations":[{"id":"doi:10.1109/fuzz-ieee.2012.6251155","is_oa":false,"landing_page_url":"http://doi.org/10.1109/fuzz-ieee.2012.6251155","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Fuzzy Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:zenodo.org:1268623","is_oa":true,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2012.6251155","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"}],"best_oa_location":{"id":"pmh:oai:zenodo.org:1268623","is_oa":true,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2012.6251155","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"},"sustainable_development_goals":[{"score":0.8399999737739563,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320335232","display_name":"Graduate School, Chiang Mai University","ror":"https://ror.org/05m2fqn25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W275226928","https://openalex.org/W1508853606","https://openalex.org/W1527737189","https://openalex.org/W1562819885","https://openalex.org/W1969269027","https://openalex.org/W1972034101","https://openalex.org/W2006347227","https://openalex.org/W2010921860","https://openalex.org/W2012778485","https://openalex.org/W2013523613","https://openalex.org/W2016940542","https://openalex.org/W2017303362","https://openalex.org/W2072096818","https://openalex.org/W2074584543","https://openalex.org/W2090375189","https://openalex.org/W2102137514","https://openalex.org/W2113076747","https://openalex.org/W2119605622","https://openalex.org/W2120096726","https://openalex.org/W2121136046","https://openalex.org/W2152892393","https://openalex.org/W2152988638","https://openalex.org/W2154794291","https://openalex.org/W2354044401","https://openalex.org/W6631371953","https://openalex.org/W6682721931","https://openalex.org/W7010404321"],"related_works":["https://openalex.org/W2110143569","https://openalex.org/W3122938442","https://openalex.org/W2804364458","https://openalex.org/W2025206082","https://openalex.org/W4298130764","https://openalex.org/W2132641928","https://openalex.org/W176583120","https://openalex.org/W1493247920","https://openalex.org/W2363647731","https://openalex.org/W4288905998"],"abstract_inverted_index":{"Sign":[0],"language":[1,64],"is":[2,82,98,108,122,135,149,159,172],"an":[3],"important":[4],"communication":[5],"tool":[6],"for":[7,118,145],"the":[8,33,40,51,80,90,96,119,128,133,140,146,157,169],"deaf.":[9],"In":[10,29],"this":[11],"paper,":[12],"we":[13,31],"build":[14],"a":[15,46],"dynamic":[16],"hand":[17,26],"gesture":[18],"translation":[19,65],"system":[20,66],"with":[21,53],"video":[22,76],"caption":[23],"without":[24],"prior":[25],"region":[27],"segmentation.":[28],"particular,":[30],"utilize":[32],"upright":[34],"speed-up":[35],"robust":[36],"feature":[37],"(U-SURF)":[38],"and":[39],"fuzzy":[41],"C-means":[42,59],"(FCM)":[43],"to":[44,101,111,125,152,162,175],"find":[45],"matched":[47],"word.":[48],"We":[49],"compared":[50],"result":[52,117,144],"that":[54,104,138,155],"from":[55,132,139],"string":[56],"grammar":[57],"hard":[58],"(sgHCM).":[60],"This":[61],"Thai":[62],"sign":[63],"was":[67],"tested":[68],"on":[69,89],"42":[70],"words.":[71],"The":[72,84,113,142,164],"total":[73],"number":[74],"of":[75,105,156,168],"sequences":[77],"used":[78],"in":[79],"experiment":[81,121,148,171],"1470.":[83],"best":[85,114,143],"correct":[86,129,165],"classification":[87,130,166],"rate":[88,131,167],"signer-dependent":[91,147],"blind":[92,115],"test":[93,116],"set":[94,107],"using":[95],"FCM":[97],"approximately":[99],"47":[100],"73%,":[102],"whereas":[103,154],"signer-semi-independent":[106,158],"around":[109,123,150,160,173],"30":[110],"40%.":[112],"signer-independent":[120,170],"24":[124],"30%.":[126],"However,":[127],"sgHCM":[134],"higher":[136],"than":[137],"FCM.":[141],"97":[151],"99%,":[153],"64":[161],"65%.":[163],"53":[174],"54%.":[176]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
