{"id":"https://openalex.org/W2548942793","doi":"https://doi.org/10.1109/icce-berlin.2016.7684748","title":"Hand gesture recognition based on sEMG signals using Support Vector Machines","display_name":"Hand gesture recognition based on sEMG signals using Support Vector Machines","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2548942793","doi":"https://doi.org/10.1109/icce-berlin.2016.7684748","mag":"2548942793"},"language":"en","primary_location":{"id":"doi:10.1109/icce-berlin.2016.7684748","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-berlin.2016.7684748","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 6th International Conference on Consumer Electronics - Berlin (ICCE-Berlin)","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/A5039036491","display_name":"Gonzalo Pomboza-Junez","orcid":null},"institutions":[{"id":"https://openalex.org/I4210153780","display_name":"Universidad Nacional de Chimborazo","ror":"https://ror.org/059wmd288","country_code":"EC","type":"education","lineage":["https://openalex.org/I4210153780"]}],"countries":["EC"],"is_corresponding":false,"raw_author_name":"Gonzalo Pomboza-Junez","raw_affiliation_strings":["Department of Languages and Systems, National University of Chimborazo, Riobamba, Ecuador"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Languages and Systems, National University of Chimborazo, Riobamba, Ecuador","institution_ids":["https://openalex.org/I4210153780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002261290","display_name":"Juan A. Holgado-Terriza","orcid":"https://orcid.org/0000-0002-8031-1276"},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Juan Holgado Terriza","raw_affiliation_strings":["Department of Software Engineering, University of Granada, Granada, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Software Engineering, University of Granada, Granada, Spain","institution_ids":["https://openalex.org/I173304897"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.7852,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.90555893,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"174","last_page":"178"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9997000098228455,"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":0.9997000098228455,"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/T10784","display_name":"Muscle activation and electromyography studies","score":0.9994000196456909,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9983000159263611,"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":0.9048188924789429},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.8120062947273254},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7954868674278259},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7376871705055237},{"id":"https://openalex.org/keywords/bluetooth","display_name":"Bluetooth","score":0.5924245715141296},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5380823612213135},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5234313011169434},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4480731785297394},{"id":"https://openalex.org/keywords/sigmoid-function","display_name":"Sigmoid function","score":0.4197671115398407},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3401886820793152},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.21038535237312317},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.180397629737854}],"concepts":[{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.9048188924789429},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.8120062947273254},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7954868674278259},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7376871705055237},{"id":"https://openalex.org/C546215728","wikidata":"https://www.wikidata.org/wiki/Q39531","display_name":"Bluetooth","level":3,"score":0.5924245715141296},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5380823612213135},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5234313011169434},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4480731785297394},{"id":"https://openalex.org/C81388566","wikidata":"https://www.wikidata.org/wiki/Q526668","display_name":"Sigmoid function","level":3,"score":0.4197671115398407},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3401886820793152},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.21038535237312317},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.180397629737854},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce-berlin.2016.7684748","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-berlin.2016.7684748","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 6th International Conference on Consumer Electronics - Berlin (ICCE-Berlin)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W174114965","https://openalex.org/W2022327534","https://openalex.org/W2027626353","https://openalex.org/W2034328688","https://openalex.org/W2039487249","https://openalex.org/W2043212614","https://openalex.org/W2044628302","https://openalex.org/W2096999979","https://openalex.org/W2106589580","https://openalex.org/W2110971712","https://openalex.org/W2156302761","https://openalex.org/W2159727956","https://openalex.org/W2167170208","https://openalex.org/W2274152267","https://openalex.org/W4249279051","https://openalex.org/W4285719527","https://openalex.org/W6674459775","https://openalex.org/W6676863772"],"related_works":["https://openalex.org/W2902873204","https://openalex.org/W2185750513","https://openalex.org/W4312416068","https://openalex.org/W3147379364","https://openalex.org/W2010878661","https://openalex.org/W2805039731","https://openalex.org/W2026258298","https://openalex.org/W3204639664","https://openalex.org/W2970836791","https://openalex.org/W342863993"],"abstract_inverted_index":{"This":[0],"paper":[1],"demonstrates":[2],"the":[3,32,74,94,99,119],"application":[4],"of":[5,27,45,66,88,98],"electromyography":[6],"(EMG)":[7],"signals":[8],"for":[9,77],"controlling":[10],"home":[11],"devices.":[12],"To":[13],"achieve":[14,73],"this":[15],"we":[16],"have":[17,35,49],"used":[18],"an":[19,25,85,109],"armband":[20],"called":[21],"MYO\u00ae":[22],"that":[23],"has":[24,105],"array":[26],"eight":[28],"sEMG":[29],"sensors":[30],"around":[31],"forearm.":[33],"We":[34,48,62],"studied":[36],"15":[37],"different":[38,64],"hand":[39],"gestures":[40],"to":[41,72,92,125],"create":[42],"a":[43,59,101],"dictionary":[44],"gesture":[46,51,78,122],"control.":[47],"achieved":[50],"recognition":[52,81],"using":[53,128],"Support":[54],"Vector":[55],"Machines":[56],"(SVMs)":[57],"as":[58,82,84,108],"classification":[60],"method.":[61],"tested":[63],"types":[65],"kernels":[67],"(radial,":[68],"polynomial":[69],"and":[70,80,96],"sigmoid)":[71],"optimum":[75],"conditions":[76],"learning":[79],"well":[83],"accurate":[86],"determination":[87],"these":[89],"movements.":[90],"Furthermore,":[91],"show":[93],"effectiveness":[95],"applicability":[97],"results,":[100],"Gesture":[102],"Control":[103],"System":[104],"been":[106],"implemented":[107],"embedded":[110],"system.":[111],"The":[112],"system":[113],"also":[114],"enable":[115],"Bluetooth":[116],"communication":[117],"with":[118],"armband,":[120],"send":[121],"control":[123],"commands":[124],"household":[126],"devices":[127],"iR":[129],"protocol.":[130]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}