{"id":"https://openalex.org/W4377293875","doi":"https://doi.org/10.3390/s23104940","title":"High-Performance Surface Electromyography Armband Design for Gesture Recognition","display_name":"High-Performance Surface Electromyography Armband Design for Gesture Recognition","publication_year":2023,"publication_date":"2023-05-21","ids":{"openalex":"https://openalex.org/W4377293875","doi":"https://doi.org/10.3390/s23104940","pmid":"https://pubmed.ncbi.nlm.nih.gov/37430853"},"language":"en","primary_location":{"id":"doi:10.3390/s23104940","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23104940","pdf_url":"https://www.mdpi.com/1424-8220/23/10/4940/pdf?version=1684649936","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/23/10/4940/pdf?version=1684649936","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022027430","display_name":"Ruihao Zhang","orcid":"https://orcid.org/0000-0002-3562-2382"},"institutions":[{"id":"https://openalex.org/I135714990","display_name":"North University of China","ror":"https://ror.org/047bp1713","country_code":"CN","type":"education","lineage":["https://openalex.org/I135714990"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruihao Zhang","raw_affiliation_strings":["School of Instrument and Electronics, North University of China, Taiyuan 030051, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Instrument and Electronics, North University of China, Taiyuan 030051, China","institution_ids":["https://openalex.org/I135714990"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101623358","display_name":"Yingping Hong","orcid":"https://orcid.org/0000-0003-2575-7539"},"institutions":[{"id":"https://openalex.org/I135714990","display_name":"North University of China","ror":"https://ror.org/047bp1713","country_code":"CN","type":"education","lineage":["https://openalex.org/I135714990"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yingping Hong","raw_affiliation_strings":["School of Instrument and Electronics, North University of China, Taiyuan 030051, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Instrument and Electronics, North University of China, Taiyuan 030051, China","institution_ids":["https://openalex.org/I135714990"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101608532","display_name":"Huixin Zhang","orcid":"https://orcid.org/0000-0002-1529-6874"},"institutions":[{"id":"https://openalex.org/I135714990","display_name":"North University of China","ror":"https://ror.org/047bp1713","country_code":"CN","type":"education","lineage":["https://openalex.org/I135714990"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huixin Zhang","raw_affiliation_strings":["School of Instrument and Electronics, North University of China, Taiyuan 030051, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Instrument and Electronics, North University of China, Taiyuan 030051, China","institution_ids":["https://openalex.org/I135714990"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110979108","display_name":"Lizhi Dang","orcid":null},"institutions":[{"id":"https://openalex.org/I135714990","display_name":"North University of China","ror":"https://ror.org/047bp1713","country_code":"CN","type":"education","lineage":["https://openalex.org/I135714990"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lizhi Dang","raw_affiliation_strings":["School of Instrument and Electronics, North University of China, Taiyuan 030051, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Instrument and Electronics, North University of China, Taiyuan 030051, China","institution_ids":["https://openalex.org/I135714990"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075845985","display_name":"Yunze Li","orcid":"https://orcid.org/0000-0003-2186-0176"},"institutions":[{"id":"https://openalex.org/I135714990","display_name":"North University of China","ror":"https://ror.org/047bp1713","country_code":"CN","type":"education","lineage":["https://openalex.org/I135714990"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunze Li","raw_affiliation_strings":["School of Instrument and Electronics, North University of China, Taiyuan 030051, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Instrument and Electronics, North University of China, Taiyuan 030051, China","institution_ids":["https://openalex.org/I135714990"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5101623358"],"corresponding_institution_ids":["https://openalex.org/I135714990"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":0.5667,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.57017809,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"23","issue":"10","first_page":"4940","last_page":"4940"},"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/T10338","display_name":"Advanced Sensor and Energy Harvesting Materials","score":0.9991000294685364,"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":0.9965000152587891,"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/electromyography","display_name":"Electromyography","score":0.8225294351577759},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.6334332823753357},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.5807851552963257},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5367933511734009},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4558899998664856},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.4366316795349121},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.36812347173690796},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35536760091781616},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.24957922101020813}],"concepts":[{"id":"https://openalex.org/C2777515770","wikidata":"https://www.wikidata.org/wiki/Q507369","display_name":"Electromyography","level":2,"score":0.8225294351577759},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.6334332823753357},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.5807851552963257},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5367933511734009},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4558899998664856},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.4366316795349121},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.36812347173690796},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35536760091781616},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.24957922101020813}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004576","descriptor_name":"Electromyography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004576","descriptor_name":"Electromyography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004576","descriptor_name":"Electromyography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005542","descriptor_name":"Forearm","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005542","descriptor_name":"Forearm","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005542","descriptor_name":"Forearm","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005868","descriptor_name":"Gestures","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005868","descriptor_name":"Gestures","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005868","descriptor_name":"Gestures","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D033182","descriptor_name":"Intention","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D033182","descriptor_name":"Intention","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D033182","descriptor_name":"Intention","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.3390/s23104940","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23104940","pdf_url":"https://www.mdpi.com/1424-8220/23/10/4940/pdf?version=1684649936","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:37430853","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37430853","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10222313","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10222313","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10222313/pdf/sensors-23-04940.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:834a89b92a074317a7fc7fe2cc6c0113","is_oa":true,"landing_page_url":"https://doaj.org/article/834a89b92a074317a7fc7fe2cc6c0113","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 23, Iss 10, p 4940 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/23/10/4940/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s23104940","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 23; Issue 10; Pages: 4940","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s23104940","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23104940","pdf_url":"https://www.mdpi.com/1424-8220/23/10/4940/pdf?version=1684649936","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2899673422","display_name":null,"funder_award_id":"51705475","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4377293875.pdf"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W1969563952","https://openalex.org/W2017085332","https://openalex.org/W2048769187","https://openalex.org/W2106526692","https://openalex.org/W2109701085","https://openalex.org/W2383696055","https://openalex.org/W2408296564","https://openalex.org/W2516710120","https://openalex.org/W2535120524","https://openalex.org/W2587694070","https://openalex.org/W2766273385","https://openalex.org/W2771247593","https://openalex.org/W2771579111","https://openalex.org/W2804301333","https://openalex.org/W2893038386","https://openalex.org/W2899248728","https://openalex.org/W2949544190","https://openalex.org/W3090906875","https://openalex.org/W3165466478","https://openalex.org/W3176638258","https://openalex.org/W3212450230","https://openalex.org/W3215905931","https://openalex.org/W4210800672","https://openalex.org/W4283758588","https://openalex.org/W4289176422","https://openalex.org/W4289731835","https://openalex.org/W4291720791","https://openalex.org/W4296871415","https://openalex.org/W4304140247","https://openalex.org/W4311663896","https://openalex.org/W4312701680","https://openalex.org/W4313124175","https://openalex.org/W4322771971","https://openalex.org/W6662845282","https://openalex.org/W6755296852","https://openalex.org/W6847876089"],"related_works":["https://openalex.org/W2537963312","https://openalex.org/W2066003895","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/W2989699735"],"abstract_inverted_index":{"Wearable":[0],"surface":[1],"electromyography":[2],"(sEMG)":[3],"signal-acquisition":[4],"devices":[5],"have":[6],"considerable":[7],"potential":[8],"for":[9,124,135],"medical":[10],"applications.":[11],"Signals":[12],"obtained":[13],"from":[14,104,120],"sEMG":[15,37,51,95,102],"armbands":[16,38],"can":[17,70,89],"be":[18],"used":[19],"to":[20,55],"identify":[21],"a":[22,48,65,80],"person's":[23],"intentions":[24],"using":[25,110],"machine":[26],"learning.":[27],"However,":[28],"the":[29,45,57,105,111,121,146],"performance":[30],"and":[31,64,69,92,114,126,152],"recognition":[32,133],"capabilities":[33],"of":[34,47,82,107],"commercially":[35],"available":[36],"are":[39],"generally":[40],"limited.":[41],"This":[42],"paper":[43],"presents":[44],"design":[46],"wireless":[49],"high-performance":[50],"armband":[52],"(hereinafter":[53],"referred":[54],"as":[56,140,142],"\u03b1":[58,87,112,147],"Armband),":[59],"which":[60],"has":[61],"16":[62],"channels":[63],"16-bit":[66],"analog-to-digital":[67],"converter":[68],"reach":[71],"2000":[72],"samples":[73,119],"per":[74,76],"second":[75],"channel":[77],"(adjustable)":[78],"with":[79,94,154],"bandwidth":[81],"0.1-20":[83],"kHz":[84],"(adjustable).":[85],"The":[86,131],"Armband":[88,113,148],"configure":[90],"parameters":[91],"interact":[93],"data":[96,103],"through":[97],"low-power":[98],"Bluetooth.":[99],"We":[100],"collected":[101],"forearms":[106],"30":[108],"subjects":[109],"extracted":[115],"three":[116],"different":[117],"image":[118],"time-frequency":[122],"domain":[123],"training":[125],"testing":[127],"convolutional":[128],"neural":[129],"networks.":[130],"average":[132],"accuracy":[134],"10":[136],"hand":[137],"gestures":[138],"was":[139],"high":[141],"98.6%,":[143],"indicating":[144],"that":[145],"is":[149],"highly":[150],"practical":[151],"robust,":[153],"excellent":[155],"development":[156],"potential.":[157]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
