{"id":"https://openalex.org/W4317419457","doi":"https://doi.org/10.1109/gcce56475.2022.10014071","title":"Feasibility Analysis of sEMG Recognition via Channel-Wise Transformer","display_name":"Feasibility Analysis of sEMG Recognition via Channel-Wise Transformer","publication_year":2022,"publication_date":"2022-10-18","ids":{"openalex":"https://openalex.org/W4317419457","doi":"https://doi.org/10.1109/gcce56475.2022.10014071"},"language":"en","primary_location":{"id":"doi:10.1109/gcce56475.2022.10014071","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/gcce56475.2022.10014071","pdf_url":null,"source":{"id":"https://openalex.org/S4363607800","display_name":"2022 IEEE 11th Global Conference on Consumer Electronics (GCCE)","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 11th Global Conference on Consumer Electronics (GCCE)","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/A5100628891","display_name":"Jiaxuan Zhang","orcid":"https://orcid.org/0009-0000-3382-3415"},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Jiaxuan Zhang","raw_affiliation_strings":["Nara Institute of Science and Technology,Ikoma, Nara,Japan,630-0101"],"affiliations":[{"raw_affiliation_string":"Nara Institute of Science and Technology,Ikoma, Nara,Japan,630-0101","institution_ids":["https://openalex.org/I75917431"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011128904","display_name":"Yuki Matsuda","orcid":"https://orcid.org/0000-0002-3135-4915"},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuki Matsuda","raw_affiliation_strings":["Nara Institute of Science and Technology,Ikoma, Nara,Japan,630-0101"],"affiliations":[{"raw_affiliation_string":"Nara Institute of Science and Technology,Ikoma, Nara,Japan,630-0101","institution_ids":["https://openalex.org/I75917431"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089994456","display_name":"Manato Fujimoto","orcid":"https://orcid.org/0000-0002-6171-5697"},"institutions":[{"id":"https://openalex.org/I4387152983","display_name":"Osaka Metropolitan University","ror":"https://ror.org/01hvx5h04","country_code":null,"type":"education","lineage":["https://openalex.org/I4387152983"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Manato Fujimoto","raw_affiliation_strings":["Osaka Metropolitan University,Osaka, Osaka,Japan,558-8585"],"affiliations":[{"raw_affiliation_string":"Osaka Metropolitan University,Osaka, Osaka,Japan,558-8585","institution_ids":["https://openalex.org/I4387152983"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005700675","display_name":"Hirohiko Suwa","orcid":"https://orcid.org/0000-0002-8519-3352"},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hirohiko Suwa","raw_affiliation_strings":["Nara Institute of Science and Technology,Ikoma, Nara,Japan,630-0101"],"affiliations":[{"raw_affiliation_string":"Nara Institute of Science and Technology,Ikoma, Nara,Japan,630-0101","institution_ids":["https://openalex.org/I75917431"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019740585","display_name":"Keiichi Yasumoto","orcid":"https://orcid.org/0000-0003-1579-3237"},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Keiichi Yasumoto","raw_affiliation_strings":["Nara Institute of Science and Technology,Ikoma, Nara,Japan,630-0101"],"affiliations":[{"raw_affiliation_string":"Nara Institute of Science and Technology,Ikoma, Nara,Japan,630-0101","institution_ids":["https://openalex.org/I75917431"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100628891"],"corresponding_institution_ids":["https://openalex.org/I75917431"],"apc_list":null,"apc_paid":null,"fwci":0.6413,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.67048884,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"105","last_page":"106"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":1.0,"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":1.0,"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":0.9986000061035156,"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":0.9984999895095825,"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/computer-science","display_name":"Computer science","score":0.7329380512237549},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.7134965062141418},{"id":"https://openalex.org/keywords/electromyography","display_name":"Electromyography","score":0.6944550275802612},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.596490740776062},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5687381625175476},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5503805875778198},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.5089278221130371},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5085736513137817},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.48250651359558105},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4413440227508545},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4116651117801666},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3239370882511139},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16663408279418945},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.12713897228240967},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.12048396468162537},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.07382208108901978}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7329380512237549},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.7134965062141418},{"id":"https://openalex.org/C2777515770","wikidata":"https://www.wikidata.org/wiki/Q507369","display_name":"Electromyography","level":2,"score":0.6944550275802612},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.596490740776062},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5687381625175476},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5503805875778198},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.5089278221130371},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5085736513137817},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.48250651359558105},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4413440227508545},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4116651117801666},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3239370882511139},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16663408279418945},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.12713897228240967},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.12048396468162537},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.07382208108901978},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/gcce56475.2022.10014071","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/gcce56475.2022.10014071","pdf_url":null,"source":{"id":"https://openalex.org/S4363607800","display_name":"2022 IEEE 11th Global Conference on Consumer Electronics (GCCE)","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 11th Global Conference on Consumer Electronics (GCCE)","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":7,"referenced_works":["https://openalex.org/W2912302853","https://openalex.org/W2980242754","https://openalex.org/W3153856653","https://openalex.org/W3157280810","https://openalex.org/W4205350698","https://openalex.org/W4225163014","https://openalex.org/W6784333009"],"related_works":["https://openalex.org/W2066003895","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/W2989699735"],"abstract_inverted_index":{"Surface":[0],"Electromyography":[1],"(sEMG)":[2],"features":[3,27],"as":[4],"objective":[5],"biomarkers":[6],"have":[7],"the":[8,25,52,75,97],"potential":[9],"to":[10,36],"facilitate":[11],"a":[12,32,48,89],"refined":[13],"diagnosis,":[14],"appropriate":[15],"treatment/rehabilitation,":[16],"and":[17,40],"measurements":[18],"of":[19,93],"Human-Computer":[20],"Interfaces":[21],"(HCI).":[22],"Precisely":[23],"recognizing":[24,58],"informative":[26],"in":[28],"EMG":[29],"data":[30],"is":[31,65],"staple":[33],"challenge":[34],"due":[35],"its":[37],"massive,":[38],"noise-involved,":[39],"nonstationary":[41],"nature.":[42],"In":[43],"this":[44],"paper,":[45],"we":[46],"build":[47],"channel-wise":[49],"method":[50,87],"assembling":[51],"recent":[53],"powerful":[54],"Transformer":[55],"model":[56],"for":[57,67],"muscle":[59],"activation.":[60],"The":[61],"gesture":[62],"classification":[63],"benchmark":[64],"demonstrated":[66],"proof-of-concept":[68],"by":[69,95],"introducing":[70],"Ninapro":[71],"sEMG":[72],"datasets":[73],"with":[74],"17":[76],"gestures":[77],"recorded":[78],"from":[79],"40":[80],"subjects.":[81],"From":[82],"experiment":[83],"results,":[84],"our":[85],"proposed":[86],"achieves":[88],"competitive":[90],"overall":[91],"accuracy":[92],"85.6%":[94],"leveraging":[96],"sole":[98],"channel-Transformer.":[99]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-01-19T04:01:09.351973","created_date":"2025-10-10T00:00:00"}