{"id":"https://openalex.org/W2886574382","doi":"https://doi.org/10.1109/civemsa.2018.8439952","title":"Teaching a Robot Sign Language using Vision-Based Hand Gesture Recognition","display_name":"Teaching a Robot Sign Language using Vision-Based Hand Gesture Recognition","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2886574382","doi":"https://doi.org/10.1109/civemsa.2018.8439952","mag":"2886574382"},"language":"en","primary_location":{"id":"doi:10.1109/civemsa.2018.8439952","is_oa":false,"landing_page_url":"https://doi.org/10.1109/civemsa.2018.8439952","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 Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","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/A5040970139","display_name":"Da Zhi","orcid":null},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Da Zhi","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, Canada"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, Canada","institution_ids":["https://openalex.org/I153718931"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004099977","display_name":"Thiago Eustaquio Alves de Oliveira","orcid":"https://orcid.org/0000-0002-7164-9064"},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Thiago E. Alves de Oliveira","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, Canada"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, Canada","institution_ids":["https://openalex.org/I153718931"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033287150","display_name":"Vinicius Prado da Fonseca","orcid":"https://orcid.org/0000-0001-5705-3056"},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Vinicius Prado da Fonseca","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, Canada"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, Canada","institution_ids":["https://openalex.org/I153718931"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023904661","display_name":"Emil M. Petriu","orcid":"https://orcid.org/0000-0002-0274-1035"},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Emil M. Petriu","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, Canada"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, Canada","institution_ids":["https://openalex.org/I153718931"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5040970139"],"corresponding_institution_ids":["https://openalex.org/I153718931"],"apc_list":null,"apc_paid":null,"fwci":1.4487,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.82170007,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"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":0.9847999811172485,"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/T10653","display_name":"Robot Manipulation and Learning","score":0.9840999841690063,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/gesture","display_name":"Gesture","score":0.7473070621490479},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7386476993560791},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7324578166007996},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.7022933959960938},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6674389839172363},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6362687945365906},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6188809871673584},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5666260719299316},{"id":"https://openalex.org/keywords/sign-language","display_name":"Sign language","score":0.5074281096458435},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4795650839805603},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.4353397488594055},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.4311710596084595}],"concepts":[{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.7473070621490479},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7386476993560791},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7324578166007996},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.7022933959960938},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6674389839172363},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6362687945365906},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6188809871673584},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5666260719299316},{"id":"https://openalex.org/C522192633","wikidata":"https://www.wikidata.org/wiki/Q34228","display_name":"Sign language","level":2,"score":0.5074281096458435},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4795650839805603},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.4353397488594055},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.4311710596084595},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/civemsa.2018.8439952","is_oa":false,"landing_page_url":"https://doi.org/10.1109/civemsa.2018.8439952","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 Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5600000023841858}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1514400885","https://openalex.org/W1981498149","https://openalex.org/W2039604658","https://openalex.org/W2052101136","https://openalex.org/W2056898157","https://openalex.org/W2092977159","https://openalex.org/W2103853000","https://openalex.org/W2116790095","https://openalex.org/W2120701504","https://openalex.org/W2153635508","https://openalex.org/W2154790436","https://openalex.org/W2164416728","https://openalex.org/W2168312374","https://openalex.org/W2468530846","https://openalex.org/W2754751811","https://openalex.org/W2901136733","https://openalex.org/W3194009423","https://openalex.org/W6630691831","https://openalex.org/W6684492130","https://openalex.org/W6756486208"],"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/W3147379364","https://openalex.org/W2028966255","https://openalex.org/W2010878661","https://openalex.org/W2026258298"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,14,22,84],"novel":[4],"vision-based":[5],"hand":[6],"gesture":[7,36],"recognition":[8,33,65,93],"(HGR)":[9],"and":[10,20,25,34,67,76,95,106,111],"training":[11],"system":[12],"for":[13,30],"human-like":[15],"robot":[16],"hand.":[17],"We":[18],"implemented":[19],"trained":[21],"multiclass-SVM":[23],"classifier":[24,29,82],"N-Dimensional":[26],"DTW":[27,107],"(ND-DTW)":[28],"static":[31],"posture":[32],"dynamic":[35,79],"recognition.":[37],"Training":[38],"features":[39],"were":[40],"extracted":[41],"from":[42],"the":[43,68,102,109],"raw":[44],"gestures":[45],"depth":[46],"data":[47],"captured":[48],"by":[49],"Leap":[50],"Motion":[51],"Controller.":[52],"The":[53],"experimental":[54],"results":[55],"show":[56],"that":[57],"multiclass":[58],"SVM":[59],"method":[60],"has":[61],"an":[62,90],"average":[63,91],"98.25%":[64],"rates":[66],"shortest":[69],"run":[70,98],"time":[71],"when":[72],"compared":[73],"to":[74],"k-NN":[75],"ANBC.":[77],"For":[78],"gestures,":[80],"ND-DTW":[81],"displays":[83],"better":[85],"performance":[86],"than":[87],"DHMM":[88],"with":[89],"95.5%":[92],"rate":[94],"significantly":[96],"shorter":[97],"time.":[99],"In":[100],"conclusion,":[101],"combination":[103],"of":[104],"SVMs":[105],"proves":[108],"efficiency":[110],"high":[112],"accuracy":[113],"in":[114],"proposed":[115],"human-robot":[116],"interaction":[117],"system.":[118]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":4}],"updated_date":"2026-02-25T23:00:34.991745","created_date":"2025-10-10T00:00:00"}
