{"id":"https://openalex.org/W2972877351","doi":"https://doi.org/10.1109/icarm.2019.8834153","title":"A Multi-Gestures Recognition System Based on Less sEMG Sensors","display_name":"A Multi-Gestures Recognition System Based on Less sEMG Sensors","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2972877351","doi":"https://doi.org/10.1109/icarm.2019.8834153","mag":"2972877351"},"language":"en","primary_location":{"id":"doi:10.1109/icarm.2019.8834153","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarm.2019.8834153","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 4th International Conference on Advanced Robotics and Mechatronics (ICARM)","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/A5073570292","display_name":"Yikang Yang","orcid":"https://orcid.org/0000-0003-4637-0472"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yikang Yang","raw_affiliation_strings":["College of Artificial Intelligence, Nankai University, No.38 Tongyan Road, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Nankai University, No.38 Tongyan Road, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015883801","display_name":"Feng Duan","orcid":"https://orcid.org/0000-0002-2179-2460"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Duan","raw_affiliation_strings":["College of Artificial Intelligence, Nankai University, No.38 Tongyan Road, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Nankai University, No.38 Tongyan Road, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038805615","display_name":"Jia Ren","orcid":"https://orcid.org/0000-0002-0719-7075"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Ren","raw_affiliation_strings":["College of Artificial Intelligence, Nankai University, No.38 Tongyan Road, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Nankai University, No.38 Tongyan Road, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053379037","display_name":"Zhenqiang Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenqiang Liu","raw_affiliation_strings":["College of Artificial Intelligence, Nankai University, No.38 Tongyan Road, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Nankai University, No.38 Tongyan Road, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112316964","display_name":"Chi Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I153470267","display_name":"Maebashi Institute of Technology","ror":"https://ror.org/01x05rm94","country_code":"JP","type":"education","lineage":["https://openalex.org/I153470267"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Chi Zhu","raw_affiliation_strings":["Department of Systems Life Engineering, Maebashi Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Department of Systems Life Engineering, Maebashi Institute of Technology","institution_ids":["https://openalex.org/I153470267"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110567144","display_name":"Yewguan Soo","orcid":null},"institutions":[{"id":"https://openalex.org/I32589535","display_name":"Technical University of Malaysia Malacca","ror":"https://ror.org/01xb6rs26","country_code":"MY","type":"education","lineage":["https://openalex.org/I32589535"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Yewguan Soo","raw_affiliation_strings":["University Teknikal Malaysia Melaka"],"affiliations":[{"raw_affiliation_string":"University Teknikal Malaysia Melaka","institution_ids":["https://openalex.org/I32589535"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050659837","display_name":"Kyung-Ryoul Mun","orcid":"https://orcid.org/0000-0002-5482-1117"},"institutions":[{"id":"https://openalex.org/I58716616","display_name":"Korea Institute of Science and Technology","ror":"https://ror.org/05kzfa883","country_code":"KR","type":"facility","lineage":["https://openalex.org/I27494661","https://openalex.org/I2801339556","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098","https://openalex.org/I4387152098","https://openalex.org/I58716616"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kyungryoul Mun","raw_affiliation_strings":["Korea Institute of Science and Technology"],"affiliations":[{"raw_affiliation_string":"Korea Institute of Science and Technology","institution_ids":["https://openalex.org/I58716616"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5073570292"],"corresponding_institution_ids":["https://openalex.org/I205237279"],"apc_list":null,"apc_paid":null,"fwci":0.4891,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.62429161,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"1","issue":null,"first_page":"105","last_page":"110"},"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":0.9988999962806702,"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/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9984999895095825,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7339568138122559},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.7324453592300415},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.6518164277076721},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6003633737564087},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5702027678489685},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.554865300655365},{"id":"https://openalex.org/keywords/prosthetic-hand","display_name":"Prosthetic hand","score":0.5002474784851074},{"id":"https://openalex.org/keywords/electromyography","display_name":"Electromyography","score":0.4811447858810425},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4218657910823822},{"id":"https://openalex.org/keywords/grasp","display_name":"GRASP","score":0.42020106315612793},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.41393932700157166},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3307124376296997},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.32364892959594727},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32239222526550293},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.12536588311195374},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.08302021026611328}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7339568138122559},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.7324453592300415},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.6518164277076721},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6003633737564087},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5702027678489685},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.554865300655365},{"id":"https://openalex.org/C3020781530","wikidata":"https://www.wikidata.org/wiki/Q181802","display_name":"Prosthetic hand","level":2,"score":0.5002474784851074},{"id":"https://openalex.org/C2777515770","wikidata":"https://www.wikidata.org/wiki/Q507369","display_name":"Electromyography","level":2,"score":0.4811447858810425},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4218657910823822},{"id":"https://openalex.org/C171268870","wikidata":"https://www.wikidata.org/wiki/Q1486676","display_name":"GRASP","level":2,"score":0.42020106315612793},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.41393932700157166},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3307124376296997},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.32364892959594727},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32239222526550293},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.12536588311195374},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.08302021026611328},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icarm.2019.8834153","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarm.2019.8834153","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 4th International Conference on Advanced Robotics and Mechatronics (ICARM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1563088657","https://openalex.org/W1586444875","https://openalex.org/W1652505363","https://openalex.org/W2155482699","https://openalex.org/W2376579142","https://openalex.org/W2477004689","https://openalex.org/W2493347803","https://openalex.org/W2535464104","https://openalex.org/W2541350501","https://openalex.org/W2543743752","https://openalex.org/W2545806245","https://openalex.org/W2594649819","https://openalex.org/W2684229413","https://openalex.org/W2765434638","https://openalex.org/W2807631444","https://openalex.org/W2885168080","https://openalex.org/W2911669956","https://openalex.org/W4300402905","https://openalex.org/W6635042280","https://openalex.org/W6734838118"],"related_works":["https://openalex.org/W2902873204","https://openalex.org/W2185750513","https://openalex.org/W3147379364","https://openalex.org/W2010878661","https://openalex.org/W2026258298","https://openalex.org/W3204639664","https://openalex.org/W2970836791","https://openalex.org/W2805039731","https://openalex.org/W4200004409","https://openalex.org/W2989699735"],"abstract_inverted_index":{"With":[0],"complex":[1],"functions,":[2],"hand":[3,18,23,45,118],"is":[4,27,86],"an":[5],"important":[6],"organ":[7],"for":[8,88,104],"human.":[9],"Unfortunately,":[10],"many":[11,49,83],"people":[12],"in":[13],"China":[14],"are":[15,98,133],"suffering":[16],"from":[17],"losing.":[19],"Therefore,":[20],"the":[21,31,44,69,74,124,138,157,165,177],"effective":[22],"motion":[24,46],"recognition":[25,79,139],"system":[26],"required":[28],"to":[29,113,171,175],"help":[30],"amputees":[32,89],"live":[33],"or":[34],"work":[35],"normally.":[36],"The":[37],"surface":[38],"electromyography":[39],"(sEMG)":[40],"signal":[41],"can":[42],"represent":[43],"effectively,":[47],"and":[48,71,123,127,148,159],"studies":[50],"about":[51],"sEMG-based":[52],"prosthetic":[53,60,75,173],"hands":[54,61,174],"have":[55],"been":[56],"investigated.":[57],"However,":[58],"some":[59,96],"use":[62],"on-off":[63],"switch":[64],"control":[65],"command,":[66],"which":[67,85,101,155],"limits":[68],"intelligence":[70],"flexibility":[72],"of":[73,130,141,180],"hands.":[76],"Some":[77],"intelligent":[78],"systems":[80],"require":[81],"too":[82,99],"sensors,":[84,122],"unrealistic":[87],"with":[90,120],"limited":[91],"residual":[92],"muscles.":[93],"In":[94,162],"addition,":[95],"algorithms":[97,132],"complicated,":[100],"brings":[102],"difficulties":[103],"practical":[105],"applications.":[106],"To":[107],"solve":[108],"these":[109],"problems,":[110],"we":[111,136],"attempted":[112],"recognize":[114],"six":[115],"commonly":[116],"used":[117],"gestures":[119],"two-channel":[121],"classification":[125],"performance":[126],"calculation":[128],"time":[129,145],"different":[131],"compared.":[134],"Finally,":[135],"achieved":[137],"accuracy":[140,158],"91.93%":[142],"by":[143],"three":[144],"domain":[146],"features":[147],"back":[149],"propagation":[150],"neural":[151],"network":[152],"(BPNN)":[153],"classifier,":[154],"balances":[156],"computation":[160],"time.":[161],"future":[163],"work,":[164],"proposed":[166],"method":[167],"will":[168],"be":[169],"applied":[170],"real-time":[172],"improve":[176],"amputee's":[178],"quality":[179],"life.":[181]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}