{"id":"https://openalex.org/W4405489356","doi":"https://doi.org/10.1109/embc53108.2024.10781686","title":"Deep Generative Replay-based Class-incremental Continual Learning in sEMG-based Pattern Recognition","display_name":"Deep Generative Replay-based Class-incremental Continual Learning in sEMG-based Pattern Recognition","publication_year":2024,"publication_date":"2024-07-15","ids":{"openalex":"https://openalex.org/W4405489356","doi":"https://doi.org/10.1109/embc53108.2024.10781686","pmid":"https://pubmed.ncbi.nlm.nih.gov/40039191"},"language":"en","primary_location":{"id":"doi:10.1109/embc53108.2024.10781686","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc53108.2024.10781686","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref","pubmed"],"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/A5025266672","display_name":"Suguru Kanoga","orcid":"https://orcid.org/0000-0002-2214-3622"},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Suguru Kanoga","raw_affiliation_strings":["National Institute of Advanced Industrial Science and Technology (AIST),Tokyo,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Advanced Industrial Science and Technology (AIST),Tokyo,Japan","institution_ids":["https://openalex.org/I73613424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037944527","display_name":"Ryo Karakida","orcid":null},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ryo Karakida","raw_affiliation_strings":["National Institute of Advanced Industrial Science and Technology (AIST),Tokyo,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Advanced Industrial Science and Technology (AIST),Tokyo,Japan","institution_ids":["https://openalex.org/I73613424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057532667","display_name":"Takayuki Hoshino","orcid":"https://orcid.org/0000-0003-4376-7853"},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takayuki Hoshino","raw_affiliation_strings":["National Institute of Advanced Industrial Science and Technology (AIST),Tokyo,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Advanced Industrial Science and Technology (AIST),Tokyo,Japan","institution_ids":["https://openalex.org/I73613424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064921259","display_name":"Yuto Okawa","orcid":"https://orcid.org/0009-0006-5240-958X"},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuto Okawa","raw_affiliation_strings":["National Institute of Advanced Industrial Science and Technology (AIST),Tokyo,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Advanced Industrial Science and Technology (AIST),Tokyo,Japan","institution_ids":["https://openalex.org/I73613424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011350023","display_name":"Mitsunori Tada","orcid":"https://orcid.org/0000-0001-6784-2016"},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Mitsunori Tada","raw_affiliation_strings":["National Institute of Advanced Industrial Science and Technology (AIST),Tokyo,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Advanced Industrial Science and Technology (AIST),Tokyo,Japan","institution_ids":["https://openalex.org/I73613424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I73613424"],"apc_list":null,"apc_paid":null,"fwci":1.4491,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.83007225,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"2024","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.996399998664856,"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":0.996399998664856,"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/T12676","display_name":"Machine Learning and ELM","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10653","display_name":"Robot Manipulation and Learning","score":0.9909999966621399,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.805340051651001},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6746549010276794},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.6289875507354736},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5942045450210571},{"id":"https://openalex.org/keywords/incremental-learning","display_name":"Incremental learning","score":0.5123001337051392},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47161251306533813},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4585364758968353},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.4519670605659485},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4193713665008545}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.805340051651001},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6746549010276794},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6289875507354736},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5942045450210571},{"id":"https://openalex.org/C2780735816","wikidata":"https://www.wikidata.org/wiki/Q28324931","display_name":"Incremental learning","level":2,"score":0.5123001337051392},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47161251306533813},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4585364758968353},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.4519670605659485},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4193713665008545}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004576","descriptor_name":"Electromyography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D004576","descriptor_name":"Electromyography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D004576","descriptor_name":"Electromyography","qualifier_ui":"Q000379","qualifier_name":"methods","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":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc53108.2024.10781686","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc53108.2024.10781686","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:40039191","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40039191","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":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1682403713","https://openalex.org/W1959608418","https://openalex.org/W2162531249","https://openalex.org/W2169931829","https://openalex.org/W2473930607","https://openalex.org/W2589747988","https://openalex.org/W2902625698","https://openalex.org/W2947461406","https://openalex.org/W2962884963","https://openalex.org/W2963559848","https://openalex.org/W2998047037","https://openalex.org/W3048941751","https://openalex.org/W3126426351","https://openalex.org/W3168220571","https://openalex.org/W3198294875","https://openalex.org/W3205417461","https://openalex.org/W4225114541","https://openalex.org/W4312210066","https://openalex.org/W4313320617","https://openalex.org/W4320169502","https://openalex.org/W4385226443","https://openalex.org/W6640963894","https://openalex.org/W6738602802","https://openalex.org/W6757384668","https://openalex.org/W6763462227"],"related_works":["https://openalex.org/W4365211920","https://openalex.org/W3014948380","https://openalex.org/W4391584540","https://openalex.org/W4380551139","https://openalex.org/W4317695495","https://openalex.org/W4395044357","https://openalex.org/W4287117424","https://openalex.org/W4387506531","https://openalex.org/W2087346071","https://openalex.org/W2967848559"],"abstract_inverted_index":{"Developments":[0],"in":[1,75],"neural":[2],"networks":[3,25],"and":[4,32,89],"sensing":[5],"technologies":[6],"have":[7],"increased":[8],"focus":[9],"on":[10,23],"modules":[11],"for":[12,138],"surface":[13],"electromyogram":[14],"(sEMG)-based":[15],"pattern":[16],"recognition.":[17],"Incremental":[18],"updating":[19,37],"of":[20,40],"parameters":[21,39],"based":[22],"pre-trained":[24,42,96],"can":[26,48],"flexibly":[27],"respond":[28],"to":[29,51,80,94],"user":[30],"requirements":[31],"enhance":[33],"user-centered":[34],"interfaces.":[35],"However,":[36],"the":[38,56,95,127],"a":[41,69,100,113,125],"network":[43],"with":[44],"new":[45,92],"class":[46],"data":[47,82],"easily":[49],"lead":[50],"catastrophic":[52],"forgetting.":[53],"While":[54],"mitigating":[55],"phenomenon":[57],"by":[58],"straightforwardly":[59],"replaying":[60],"historical":[61,81,144],"data,":[62],"this":[63,87],"approach":[64],"necessitates":[65],"significant":[66],"memory":[67],"resources,":[68],"constraint":[70],"that":[71],"proves":[72],"often":[73],"impractical":[74],"real-world":[76],"applications":[77],"where":[78],"access":[79],"is":[83],"limited.":[84],"To":[85],"avoid":[86],"limitation":[88],"incrementally":[90],"add":[91],"classes":[93],"network,":[97],"we":[98],"proposed":[99,128],"deep":[101],"generative":[102],"replay-based":[103],"continual":[104],"learning":[105,119],"(CL)":[106],"framework.":[107],"The":[108],"performance":[109],"was":[110],"evaluated":[111],"using":[112],"public":[114],"sEMG":[115],"dataset":[116],"under":[117],"two-class-incremental":[118],"scenario":[120],"until":[121],"four":[122],"tasks.":[123],"As":[124],"result,":[126],"framework":[129],"performed":[130],"better":[131],"than":[132],"other":[133],"conventional":[134],"CL":[135],"methods":[136],"except":[137],"experience":[139],"replay,":[140],"which":[141],"simply":[142],"reuses":[143],"data.":[145]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2}],"updated_date":"2026-08-03T07:22:36.454288","created_date":"2025-10-10T00:00:00"}
