{"id":"https://openalex.org/W4283734922","doi":"https://doi.org/10.1109/i2mtc48687.2022.9806648","title":"sEMG Signal based Hand Gesture Recognition by using Selective Subbands Coefficients and Machine Learning","display_name":"sEMG Signal based Hand Gesture Recognition by using Selective Subbands Coefficients and Machine Learning","publication_year":2022,"publication_date":"2022-05-16","ids":{"openalex":"https://openalex.org/W4283734922","doi":"https://doi.org/10.1109/i2mtc48687.2022.9806648"},"language":"en","primary_location":{"id":"doi:10.1109/i2mtc48687.2022.9806648","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc48687.2022.9806648","pdf_url":null,"source":{"id":"https://openalex.org/S4363607934","display_name":"2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","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/A5015732743","display_name":"Saeed Mian Qaisar","orcid":"https://orcid.org/0000-0002-4268-3482"},"institutions":[{"id":"https://openalex.org/I125656591","display_name":"Effat University","ror":"https://ror.org/02cnwgt19","country_code":"SA","type":"education","lineage":["https://openalex.org/I125656591"]}],"countries":["SA"],"is_corresponding":true,"raw_author_name":"Saeed Mian Qaisar","raw_affiliation_strings":["Effat University,Department of Electrical and Computer Engineering,Jeddah,Saudi Arabia,22332"],"affiliations":[{"raw_affiliation_string":"Effat University,Department of Electrical and Computer Engineering,Jeddah,Saudi Arabia,22332","institution_ids":["https://openalex.org/I125656591"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101589549","display_name":"Alberto L\u00f3pez","orcid":"https://orcid.org/0000-0003-3572-7632"},"institutions":[{"id":"https://openalex.org/I165339363","display_name":"Universidad de Oviedo","ror":"https://ror.org/006gksa02","country_code":"ES","type":"education","lineage":["https://openalex.org/I165339363"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Alberto Lopez","raw_affiliation_strings":["University of Oviedo,Department of Electrical Engineering,Gijón,Spain,33204"],"affiliations":[{"raw_affiliation_string":"University of Oviedo,Department of Electrical Engineering,Gijón,Spain,33204","institution_ids":["https://openalex.org/I165339363"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024289372","display_name":"Dominique Dallet","orcid":"https://orcid.org/0000-0002-7616-7099"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I15057530","display_name":"Universit\u00e9 de Bordeaux","ror":"https://ror.org/057qpr032","country_code":"FR","type":"education","lineage":["https://openalex.org/I15057530"]},{"id":"https://openalex.org/I4210157089","display_name":"Laboratoire de l'Int\u00e9gration du Mat\u00e9riau au Syst\u00e8me","ror":"https://ror.org/04nabhy78","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I15057530","https://openalex.org/I4210091158","https://openalex.org/I4210095849","https://openalex.org/I4210157089","https://openalex.org/I4210160189"]},{"id":"https://openalex.org/I4210160189","display_name":"Institut Polytechnique de Bordeaux","ror":"https://ror.org/054qv7y42","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210160189"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Dominique Dallet","raw_affiliation_strings":["Univ. Bordeaux, Bordeaux INP, CNRS UMR 5218,IMS Laboratory,Talence,France,F-33400"],"affiliations":[{"raw_affiliation_string":"Univ. Bordeaux, Bordeaux INP, CNRS UMR 5218,IMS Laboratory,Talence,France,F-33400","institution_ids":["https://openalex.org/I4210157089","https://openalex.org/I4210160189","https://openalex.org/I1294671590","https://openalex.org/I15057530"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054673892","display_name":"Francisco Ferrero","orcid":"https://orcid.org/0000-0003-3551-8160"},"institutions":[{"id":"https://openalex.org/I165339363","display_name":"Universidad de Oviedo","ror":"https://ror.org/006gksa02","country_code":"ES","type":"education","lineage":["https://openalex.org/I165339363"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Francisco Javier Ferrero","raw_affiliation_strings":["University of Oviedo,Department of Electrical Engineering,Gijón,Spain,33204"],"affiliations":[{"raw_affiliation_string":"University of Oviedo,Department of Electrical Engineering,Gijón,Spain,33204","institution_ids":["https://openalex.org/I165339363"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5015732743"],"corresponding_institution_ids":["https://openalex.org/I125656591"],"apc_list":null,"apc_paid":null,"fwci":1.6069,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.82483404,"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":"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":0.9998999834060669,"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":0.9998999834060669,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9939000010490417,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.8057022094726562},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.6742830276489258},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6728699207305908},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.6358208656311035},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6031596064567566},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5912257432937622},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5704346299171448},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5154002904891968},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5027322769165039},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4584408104419708},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.43096500635147095},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21944564580917358}],"concepts":[{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.8057022094726562},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.6742830276489258},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6728699207305908},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.6358208656311035},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6031596064567566},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5912257432937622},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5704346299171448},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5154002904891968},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5027322769165039},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4584408104419708},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.43096500635147095},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21944564580917358},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/i2mtc48687.2022.9806648","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc48687.2022.9806648","pdf_url":null,"source":{"id":"https://openalex.org/S4363607934","display_name":"2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-03781101v1","is_oa":false,"landing_page_url":"https://hal.science/hal-03781101","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), May 2022, Ottawa, Canada. ⟨10.1109/i2mtc48687.2022.9806648⟩","raw_type":"Conference papers"},{"id":"pmh:oai:oskar-bordeaux.fr:20.500.12278/140608","is_oa":false,"landing_page_url":"https://oskar-bordeaux.fr/handle/20.500.12278/140608","pdf_url":null,"source":{"id":"https://openalex.org/S4306402569","display_name":"Oskar-Bordeaux (Universite de Bordeaux)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"crossref","raw_type":"Communication dans un congr\u00e8s avec actes"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/12","score":0.4000000059604645,"display_name":"Responsible consumption and production"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1998805514","https://openalex.org/W2054725964","https://openalex.org/W2091076299","https://openalex.org/W2109019975","https://openalex.org/W2323110956","https://openalex.org/W2568212120","https://openalex.org/W2594649819","https://openalex.org/W2597015527","https://openalex.org/W2769407455","https://openalex.org/W2771247593","https://openalex.org/W2808403159","https://openalex.org/W2946263433","https://openalex.org/W3016777030","https://openalex.org/W3020587741","https://openalex.org/W3097132272","https://openalex.org/W3112512861","https://openalex.org/W3135957997","https://openalex.org/W3157049864","https://openalex.org/W3157280810","https://openalex.org/W6746328331","https://openalex.org/W6776287924","https://openalex.org/W6794206988"],"related_works":["https://openalex.org/W2165912799","https://openalex.org/W2902873204","https://openalex.org/W2185750513","https://openalex.org/W2010878661","https://openalex.org/W3147379364","https://openalex.org/W2026258298","https://openalex.org/W3204639664","https://openalex.org/W2970836791","https://openalex.org/W2805039731","https://openalex.org/W2989699735"],"abstract_inverted_index":{"The":[0,14,148],"hand":[1,41,61,146,208],"disability":[2],"can":[3,20],"limit":[4],"the":[5,65,71,86,93,109,114,127,131,138,166,180,190,206,211],"integration":[6],"of":[7,17,31,39,58,145,193,205,210],"concerned":[8],"subjects":[9],"in":[10,105,164],"daily":[11],"life":[12,15],"activities.":[13],"quality":[16],"impaired":[18],"persons":[19],"be":[21],"augmented":[22],"by":[23,63,91,107,153],"using":[24,92,154],"prosthetic":[25,32],"hands.":[26],"However,":[27],"an":[28,49,83,202],"effective":[29,50],"realization":[30],"body":[33],"parts":[34],"is":[35,43,53,73,80,89,101,151,171],"challenging.":[36],"Accurate":[37],"identification":[38,57],"desired":[40],"gestures":[42,62,209],"not":[44],"straightforward.":[45],"In":[46],"this":[47],"paper,":[48],"multirate":[51],"solution":[52],"proposed":[54],"for":[55,142],"automated":[56,143,203],"six":[59,207],"different":[60],"processing":[64],"Surface":[66],"Electromyogram":[67],"(sEMG)":[68],"signals.":[69],"Firstly,":[70],"signal":[72,88],"divided":[74],"into":[75],"finite-length":[76],"segments.":[77],"Each":[78],"segment":[79],"called":[81],"as":[82],"instance.":[84],"Secondly,":[85],"sEMG":[87,158],"conditioned":[90],"noise":[94],"removal":[95],"linear":[96],"phase":[97],"filter.":[98],"Onward":[99],"it":[100],"downsampled":[102],"and":[103,122,198],"decomposed":[104],"subbands":[106,115],"applying":[108],"Wavelet":[110],"Decomposition":[111],"scheme.":[112],"Afterward,":[113],"are":[116,124,135],"selected":[117,128],"based":[118],"on":[119],"frequency":[120],"content":[121],"features":[123,133],"mined":[125],"from":[126],"subbands.":[129],"Finally,":[130],"extracted":[132],"sets":[134],"conveyed":[136],"to":[137],"machine":[139],"learning-based":[140],"classifiers":[141],"categorization":[144,204],"gestures.":[147],"system":[149],"performance":[150],"tested":[152],"a":[155,184],"publicly":[156],"available":[157],"dataset.":[159],"To":[160],"avoid":[161],"any":[162],"biasness":[163],"findings":[165],"10-fold":[167],"cross-validation":[168],"(10-CV)":[169],"strategy":[170],"followed":[172],"with":[173],"multiple":[174],"evaluation":[175],"measures.":[176],"Results":[177],"show":[178],"that":[179],"devised":[181],"method":[182],"secures":[183],"6.26-fold":[185],"dimension":[186],"reduction":[187],"while":[188],"attaining":[189],"average":[191],"values":[192],"97%":[194],"accuracy,":[195],"98%":[196],"specificity,":[197],"99%":[199],"AUC":[200],"during":[201],"considered":[212],"subject.":[213]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}