{"id":"https://openalex.org/W4200285431","doi":"https://doi.org/10.1109/iccma54375.2021.9646200","title":"Arm Movements Recognition by Implementing CNN on Microcontrollers","display_name":"Arm Movements Recognition by Implementing CNN on Microcontrollers","publication_year":2021,"publication_date":"2021-11-11","ids":{"openalex":"https://openalex.org/W4200285431","doi":"https://doi.org/10.1109/iccma54375.2021.9646200"},"language":"en","primary_location":{"id":"doi:10.1109/iccma54375.2021.9646200","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccma54375.2021.9646200","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 9th International Conference on Control, Mechatronics and Automation (ICCMA)","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/A5101414384","display_name":"Siyu Qin","orcid":"https://orcid.org/0000-0002-4890-5816"},"institutions":[{"id":"https://openalex.org/I204250578","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771","country_code":"US","type":"education","lineage":["https://openalex.org/I204250578"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Siyu Qin","raw_affiliation_strings":["EECS, University of California, Irvine, Irvine, CA, USA"],"affiliations":[{"raw_affiliation_string":"EECS, University of California, Irvine, Irvine, CA, USA","institution_ids":["https://openalex.org/I204250578"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088229374","display_name":"Jiaqi Zhang","orcid":"https://orcid.org/0000-0001-8006-4482"},"institutions":[{"id":"https://openalex.org/I130828816","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33","country_code":"GB","type":"education","lineage":["https://openalex.org/I130828816"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jiaqi Zhang","raw_affiliation_strings":["University of Leeds, Leeds, UK"],"affiliations":[{"raw_affiliation_string":"University of Leeds, Leeds, UK","institution_ids":["https://openalex.org/I130828816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108286755","display_name":"Hongji Shen","orcid":null},"institutions":[{"id":"https://openalex.org/I69356397","display_name":"Xi\u2019an Jiaotong-Liverpool University","ror":"https://ror.org/03zmrmn05","country_code":"CN","type":"education","lineage":["https://openalex.org/I69356397"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongji Shen","raw_affiliation_strings":["Xi\u2019an Jiaotong-Liverpool University, Suzhou, P.R. China","Xi'an Jiaotong-Liverpool University, Suzhou, P.R. China"],"affiliations":[{"raw_affiliation_string":"Xi\u2019an Jiaotong-Liverpool University, Suzhou, P.R. China","institution_ids":["https://openalex.org/I69356397"]},{"raw_affiliation_string":"Xi'an Jiaotong-Liverpool University, Suzhou, P.R. China","institution_ids":["https://openalex.org/I69356397"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100602393","display_name":"Yizhou Wang","orcid":"https://orcid.org/0000-0001-9515-8051"},"institutions":[{"id":"https://openalex.org/I130828816","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33","country_code":"GB","type":"education","lineage":["https://openalex.org/I130828816"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yizhou Wang","raw_affiliation_strings":["University of Leeds, Leeds, UK"],"affiliations":[{"raw_affiliation_string":"University of Leeds, Leeds, UK","institution_ids":["https://openalex.org/I130828816"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101414384"],"corresponding_institution_ids":["https://openalex.org/I204250578"],"apc_list":null,"apc_paid":null,"fwci":0.2507,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.50679212,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"43","issue":null,"first_page":"171","last_page":"176"},"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/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular 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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.996999979019165,"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/microcontroller","display_name":"Microcontroller","score":0.7977736592292786},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7625904083251953},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6275094747543335},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5492347478866577},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5218421816825867},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.48929306864738464},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.4865800142288208},{"id":"https://openalex.org/keywords/arduino","display_name":"Arduino","score":0.48423004150390625},{"id":"https://openalex.org/keywords/application-specific-integrated-circuit","display_name":"Application-specific integrated circuit","score":0.46399304270744324},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4260813593864441},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.4253774881362915},{"id":"https://openalex.org/keywords/movement","display_name":"Movement (music)","score":0.42105191946029663},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42015716433525085},{"id":"https://openalex.org/keywords/dynamic-time-warping","display_name":"Dynamic time warping","score":0.41819167137145996},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.402606338262558},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.33933699131011963},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.19444876909255981}],"concepts":[{"id":"https://openalex.org/C173018170","wikidata":"https://www.wikidata.org/wiki/Q165678","display_name":"Microcontroller","level":2,"score":0.7977736592292786},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7625904083251953},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6275094747543335},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5492347478866577},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5218421816825867},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.48929306864738464},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.4865800142288208},{"id":"https://openalex.org/C136501162","wikidata":"https://www.wikidata.org/wiki/Q175957","display_name":"Arduino","level":2,"score":0.48423004150390625},{"id":"https://openalex.org/C77390884","wikidata":"https://www.wikidata.org/wiki/Q217302","display_name":"Application-specific integrated circuit","level":2,"score":0.46399304270744324},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4260813593864441},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.4253774881362915},{"id":"https://openalex.org/C2780226923","wikidata":"https://www.wikidata.org/wiki/Q929848","display_name":"Movement (music)","level":2,"score":0.42105191946029663},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42015716433525085},{"id":"https://openalex.org/C88516994","wikidata":"https://www.wikidata.org/wiki/Q1268863","display_name":"Dynamic time warping","level":2,"score":0.41819167137145996},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.402606338262558},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.33933699131011963},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.19444876909255981},{"id":"https://openalex.org/C107038049","wikidata":"https://www.wikidata.org/wiki/Q35986","display_name":"Aesthetics","level":1,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccma54375.2021.9646200","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccma54375.2021.9646200","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 9th International Conference on Control, Mechatronics and Automation (ICCMA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8899999856948853,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W749740155","https://openalex.org/W1507613764","https://openalex.org/W1981911582","https://openalex.org/W2089727703","https://openalex.org/W2158728671","https://openalex.org/W2421326155","https://openalex.org/W2886986697","https://openalex.org/W2917699985","https://openalex.org/W2922138935","https://openalex.org/W2949544190","https://openalex.org/W2961638199","https://openalex.org/W3080798910","https://openalex.org/W3091289896","https://openalex.org/W3092482093","https://openalex.org/W3170621807","https://openalex.org/W7015260593"],"related_works":["https://openalex.org/W2030799363","https://openalex.org/W2950183183","https://openalex.org/W2341338763","https://openalex.org/W2288425735","https://openalex.org/W2349923317","https://openalex.org/W2894081631","https://openalex.org/W2799932818","https://openalex.org/W2768783059","https://openalex.org/W4229074545","https://openalex.org/W4385574901"],"abstract_inverted_index":{"Surface":[0],"electromyography":[1],"is":[2,28,51,115,125,137,163],"a":[3,146],"technique":[4,27],"mainly":[5],"used":[6,30,47,73],"to":[7,11,34,55,58,120,175,187,196,200],"detect":[8],"hand":[9],"movements":[10],"help":[12,188],"patients":[13,54,189],"regain":[14,190],"control":[15,191],"over":[16],"their":[17,193],"fingers":[18],"or":[19,195],"manipulate":[20,197],"prosthetic":[21,198],"arms.":[22],"This":[23,64],"body":[24],"signal":[25,62,75],"measuring":[26],"usually":[29],"with":[31,145,168],"machine":[32,142],"learning":[33,143],"recognize":[35],"various":[36],"arm":[37,44],"movement":[38,45],"s.":[39],"However,":[40],"past":[41],"studies":[42],"on":[43],"recognitions":[46],"powerful":[48],"computers":[49],"that":[50,165],"inconvenient":[52],"for":[53,154],"carry":[56],"around":[57],"perform":[59,201],"real-time":[60],"sEMG":[61,74,86],"measuring.":[63],"paper":[65],"compares":[66],"the":[67,70,102,128,141,160,185],"performance":[68],"of":[69,99,110,139,149,184,192],"two":[71],"commonly":[72],"feature":[76],"extraction":[77],"methods,":[78],"1D-CNN,":[79],"and":[80,101,124,151,156,181],"2D-CNN":[81,103,113,157],"architectures.":[82],"We":[83],"first":[84],"collected":[85],"signals":[87],"from":[88,117],"10":[89],"subjects.":[90],"The":[91,112,135],"1D-CNN":[92,155],"architecture":[93,104,114],"reached":[94,105],"an":[95,106],"average":[96,107],"recognition":[97,108],"accuracy":[98,109],"89.4%":[100],"98.9%.":[111],"converted":[116],"TensorFlow":[118,121],"file":[119,123],"Lite":[122],"imported":[126],"into":[127],"Arduino":[129],"nano":[130],"33":[131],"BLE":[132],"sense":[133],"microcontroller.":[134],"microcontroller":[136],"able":[138],"repeating":[140],"process":[144],"processing":[147,182],"time":[148,183],"79-85ms":[150],"132-135ms":[152],"respectively":[153],"models.":[158],"In":[159],"future,":[161],"it":[162],"suggested":[164],"ASIC":[166],"devices":[167],"specially":[169],"designed":[170],"electrodes":[171],"can":[172],"be":[173],"applied":[174],"further":[176],"reduce":[177],"power":[178],"consumption,":[179],"size,":[180],"device":[186],"hands":[194,199],"dangerous":[202],"experiments.":[203]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}