{"id":"https://openalex.org/W2774243710","doi":"https://doi.org/10.1109/sbr-lars-r.2017.8215313","title":"Artificial neural networks applied to the classification of hand gestures using eletromyographic signals","display_name":"Artificial neural networks applied to the classification of hand gestures using eletromyographic signals","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2774243710","doi":"https://doi.org/10.1109/sbr-lars-r.2017.8215313","mag":"2774243710"},"language":"en","primary_location":{"id":"doi:10.1109/sbr-lars-r.2017.8215313","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sbr-lars-r.2017.8215313","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Latin American Robotics Symposium (LARS) and 2017 Brazilian Symposium on Robotics (SBR)","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/A5076601462","display_name":"Michelle Fonseca","orcid":null},"institutions":[{"id":"https://openalex.org/I126158947","display_name":"Universidade Federal da Bahia","ror":"https://ror.org/03k3p7647","country_code":"BR","type":"education","lineage":["https://openalex.org/I126158947"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"M. G. B. Fonseca","raw_affiliation_strings":["Electrical Engineering Department of Federal University of Bahia, Salvador, BA, BRA"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department of Federal University of Bahia, Salvador, BA, BRA","institution_ids":["https://openalex.org/I126158947"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088492305","display_name":"Andr\u00e9 G. S. Concei\u00e7\u00e3o","orcid":"https://orcid.org/0000-0001-8124-6253"},"institutions":[{"id":"https://openalex.org/I126158947","display_name":"Universidade Federal da Bahia","ror":"https://ror.org/03k3p7647","country_code":"BR","type":"education","lineage":["https://openalex.org/I126158947"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"A. G. S. Conceicao","raw_affiliation_strings":["Universidade Federal da Bahia, Salvador, BA, BR"],"affiliations":[{"raw_affiliation_string":"Universidade Federal da Bahia, Salvador, BA, BR","institution_ids":["https://openalex.org/I126158947"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030940663","display_name":"E. Furtado De Simas Filho","orcid":"https://orcid.org/0000-0001-8707-785X"},"institutions":[{"id":"https://openalex.org/I126158947","display_name":"Universidade Federal da Bahia","ror":"https://ror.org/03k3p7647","country_code":"BR","type":"education","lineage":["https://openalex.org/I126158947"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"E. F. Simas Filho","raw_affiliation_strings":["Electrical Engineering Department of Federal University of Bahia, Salvador, BA, BRA"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department of Federal University of Bahia, Salvador, BA, BRA","institution_ids":["https://openalex.org/I126158947"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5076601462"],"corresponding_institution_ids":["https://openalex.org/I126158947"],"apc_list":null,"apc_paid":null,"fwci":0.3824,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.61065499,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":0.9984999895095825,"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"}},"topics":[{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":0.9984999895095825,"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"}},{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9976000189781189,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9866999983787537,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.8222507238388062},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6500605940818787},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6321257948875427},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5736345648765564},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5100715756416321},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.47349438071250916},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4443601369857788},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.4443003535270691},{"id":"https://openalex.org/keywords/feedforward-neural-network","display_name":"Feedforward neural network","score":0.44179555773735046}],"concepts":[{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.8222507238388062},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6500605940818787},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6321257948875427},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5736345648765564},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5100715756416321},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.47349438071250916},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4443601369857788},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.4443003535270691},{"id":"https://openalex.org/C47702885","wikidata":"https://www.wikidata.org/wiki/Q5441227","display_name":"Feedforward neural network","level":3,"score":0.44179555773735046}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sbr-lars-r.2017.8215313","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sbr-lars-r.2017.8215313","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Latin American Robotics Symposium (LARS) and 2017 Brazilian Symposium on Robotics (SBR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320323681","display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado da Bahia","ror":"https://ror.org/0473khm44"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W98138761","https://openalex.org/W353957520","https://openalex.org/W1597190145","https://openalex.org/W2101337260","https://openalex.org/W2132549764","https://openalex.org/W2183461131","https://openalex.org/W2963907978","https://openalex.org/W4285719527","https://openalex.org/W4312750805"],"related_works":["https://openalex.org/W2066003895","https://openalex.org/W2537963312","https://openalex.org/W2537762514","https://openalex.org/W2349788282","https://openalex.org/W577271088","https://openalex.org/W2120801881","https://openalex.org/W1982853263","https://openalex.org/W1974473538","https://openalex.org/W2020010749","https://openalex.org/W2796116650"],"abstract_inverted_index":{"This":[0],"paper":[1],"aims":[2],"at":[3],"the":[4,36,39,58,69,78,91,94],"classification":[5],"of":[6,38,52,57,74,80,93],"hand":[7],"gestures":[8,81],"using":[9],"electromyographic":[10],"signals":[11,44],"(EMG)":[12],"obtained":[13],"through":[14],"a":[15,60],"Myo":[16],"<sup":[17],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[18],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">TM</sup>":[19],"armband,":[20],"which":[21],"has":[22],"eight":[23,53],"medical":[24],"grade":[25],"electrodes.":[26,54],"Each":[27],"electrode":[28],"provides":[29],"information":[30],"regarding":[31],"muscles":[32],"contraction":[33],"performed":[34],"during":[35],"execution":[37],"movement.":[40],"From":[41],"these":[42],"electrodes":[43],"are":[45,87],"extracted":[46],"seven":[47],"features":[48],"for":[49,82],"each":[50],"one":[51],"After":[55],"extraction":[56],"characteristics":[59],"Feedforward":[61],"Artificial":[62],"Neural":[63],"Network":[64],"is":[65,77],"trained":[66],"to":[67,89],"recognize":[68],"desired":[70],"classes.":[71],"The":[72],"motivation":[73],"this":[75],"research":[76],"recognition":[79],"human-robot":[83],"interaction.":[84],"Experimental":[85],"results":[86],"presented":[88],"demonstrate":[90],"performance":[92],"proposed":[95],"method.":[96]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}