{"id":"https://openalex.org/W4400197974","doi":"https://doi.org/10.1007/s40747-024-01541-w","title":"An end-to-end hand action recognition framework based on cross-time mechanomyography signals","display_name":"An end-to-end hand action recognition framework based on cross-time mechanomyography signals","publication_year":2024,"publication_date":"2024-06-29","ids":{"openalex":"https://openalex.org/W4400197974","doi":"https://doi.org/10.1007/s40747-024-01541-w"},"language":"en","primary_location":{"id":"doi:10.1007/s40747-024-01541-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-024-01541-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01541-w.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01541-w.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100333804","display_name":"Yue Zhang","orcid":"https://orcid.org/0000-0003-4285-2167"},"institutions":[{"id":"https://openalex.org/I199305430","display_name":"Nantong University","ror":"https://ror.org/02afcvw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I199305430"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Zhang","raw_affiliation_strings":["School of mechanical Engineering, Nantong University, Nantong, 226019, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of mechanical Engineering, Nantong University, Nantong, 226019, China","institution_ids":["https://openalex.org/I199305430"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090134028","display_name":"Tengfei Li","orcid":"https://orcid.org/0000-0002-0792-1019"},"institutions":[{"id":"https://openalex.org/I199305430","display_name":"Nantong University","ror":"https://ror.org/02afcvw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I199305430"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tengfei Li","raw_affiliation_strings":["School of mechanical Engineering, Nantong University, Nantong, 226019, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of mechanical Engineering, Nantong University, Nantong, 226019, China","institution_ids":["https://openalex.org/I199305430"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100723984","display_name":"Xingguo Zhang","orcid":"https://orcid.org/0000-0001-8390-642X"},"institutions":[{"id":"https://openalex.org/I199305430","display_name":"Nantong University","ror":"https://ror.org/02afcvw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I199305430"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingguo Zhang","raw_affiliation_strings":["School of mechanical Engineering, Nantong University, Nantong, 226019, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of mechanical Engineering, Nantong University, Nantong, 226019, China","institution_ids":["https://openalex.org/I199305430"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089792666","display_name":"Chunming Xia","orcid":"https://orcid.org/0000-0003-0227-3558"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunming Xia","raw_affiliation_strings":["School of Mechanical and Power Engineering, East China University of Science and Technology, Shanghai, 200237, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical and Power Engineering, East China University of Science and Technology, Shanghai, 200237, China","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102833823","display_name":"Jie Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I199305430","display_name":"Nantong University","ror":"https://ror.org/02afcvw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I199305430"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Zhou","raw_affiliation_strings":["School of mechanical Engineering, Nantong University, Nantong, 226019, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of mechanical Engineering, Nantong University, Nantong, 226019, China","institution_ids":["https://openalex.org/I199305430"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027298447","display_name":"Maoxun Sun","orcid":"https://orcid.org/0000-0003-0276-7347"},"institutions":[{"id":"https://openalex.org/I148128674","display_name":"University of Shanghai for Science and Technology","ror":"https://ror.org/00ay9v204","country_code":"CN","type":"education","lineage":["https://openalex.org/I148128674"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Maoxun Sun","raw_affiliation_strings":["School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China"],"raw_orcid":"https://orcid.org/0000-0003-0276-7347","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China","institution_ids":["https://openalex.org/I148128674"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5027298447"],"corresponding_institution_ids":["https://openalex.org/I148128674"],"apc_list":{"value":1320,"currency":"GBP","value_usd":1619},"apc_paid":{"value":1320,"currency":"GBP","value_usd":1619},"fwci":1.0604,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.73946545,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"10","issue":"5","first_page":"6953","last_page":"6964"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9912999868392944,"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":0.9746000170707703,"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/computer-science","display_name":"Computer science","score":0.6084406971931458},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.5867617130279541},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5855541229248047},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5468551516532898},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.5298064947128296},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5199262499809265},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.4790674149990082},{"id":"https://openalex.org/keywords/computational-intelligence","display_name":"Computational intelligence","score":0.45105257630348206},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.42441898584365845},{"id":"https://openalex.org/keywords/test-data","display_name":"Test data","score":0.42231640219688416},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3689417839050293},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33716922998428345}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6084406971931458},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.5867617130279541},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5855541229248047},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5468551516532898},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.5298064947128296},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5199262499809265},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.4790674149990082},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.45105257630348206},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.42441898584365845},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.42231640219688416},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3689417839050293},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33716922998428345},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s40747-024-01541-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-024-01541-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01541-w.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:82183d72c89f4c06a8a7b991bea4f39c","is_oa":true,"landing_page_url":"https://doaj.org/article/82183d72c89f4c06a8a7b991bea4f39c","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complex & Intelligent Systems, Vol 10, Iss 5, Pp 6953-6964 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s40747-024-01541-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-024-01541-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01541-w.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8720173392","display_name":null,"funder_award_id":"No. 12304515","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/W4400197974.pdf"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W1984601705","https://openalex.org/W2576424090","https://openalex.org/W2618530766","https://openalex.org/W2775447708","https://openalex.org/W2785618385","https://openalex.org/W2883233325","https://openalex.org/W2901402366","https://openalex.org/W2973700007","https://openalex.org/W3001314219","https://openalex.org/W3011275915","https://openalex.org/W3026120157","https://openalex.org/W3028461828","https://openalex.org/W3102966027","https://openalex.org/W3105596955","https://openalex.org/W3131494929","https://openalex.org/W3146338719","https://openalex.org/W3158749507","https://openalex.org/W3194116415","https://openalex.org/W4213139506","https://openalex.org/W4229061265","https://openalex.org/W4313546912","https://openalex.org/W4313551195","https://openalex.org/W4316039445","https://openalex.org/W4323051226","https://openalex.org/W4327521640","https://openalex.org/W4372311843","https://openalex.org/W4379879449","https://openalex.org/W4380483972","https://openalex.org/W4382051552","https://openalex.org/W4382359328","https://openalex.org/W4384937446","https://openalex.org/W4386362884","https://openalex.org/W4386590725","https://openalex.org/W4390570589","https://openalex.org/W4391589169","https://openalex.org/W4392303344","https://openalex.org/W4392388008"],"related_works":["https://openalex.org/W3154695487","https://openalex.org/W1999699871","https://openalex.org/W4225124612","https://openalex.org/W2043806667","https://openalex.org/W2021633306","https://openalex.org/W2006801911","https://openalex.org/W2033669961","https://openalex.org/W2971899271","https://openalex.org/W1972167985","https://openalex.org/W3019226033"],"abstract_inverted_index":{"Abstract":[0],"The":[1,174],"susceptibility":[2],"of":[3,18,43,112,141,148,165,182],"mechanomyography":[4],"(MMG)":[5],"signals":[6,20],"acquisition":[7],"to":[8,27,104],"sensor":[9,183],"donning":[10,184],"and":[11,13,90,123,135,154,160,185],"doffing,":[12],"the":[14,36,40,91,106,110,115,119,129,149,161,171,179],"apparent":[15],"time-varying":[16],"characteristics":[17],"biomedical":[19],"collected":[21],"over":[22],"different":[23],"periods,":[24],"inevitably":[25],"lead":[26],"a":[28,46,62,87,101,157],"reduction":[29],"in":[30,114],"model":[31],"recognition":[32,41,67,120,139,188],"accuracy.":[33],"To":[34],"investigate":[35],"adverse":[37,180],"effects":[38,181],"on":[39,187],"results":[42],"hand":[44,65],"actions,":[45],"12-day":[47],"cross-time":[48],"MMG":[49],"data":[50,80,93],"collection":[51],"experiment":[52],"with":[53,69],"eight":[54],"subjects":[55],"was":[56,75],"conducted":[57],"by":[58],"an":[59,137],"armband,":[60],"then":[61],"novel":[63],"MMG-based":[64],"action":[66],"framework":[68],"densely":[70],"connected":[71],"convolutional":[72],"networks":[73],"(DenseNet)":[74],"proposed.":[76],"In":[77,145],"this":[78],"study,":[79],"from":[81,94,170],"10":[82,133],"days":[83,97,113,134],"were":[84,98],"selected":[85],"as":[86,100],"training":[88,116,130,150],"subset,":[89],"remaining":[92],"another":[95],"2":[96],"used":[99],"test":[102,172],"set":[103,117,131],"evaluate":[105],"model\u2019s":[107],"performance.":[108],"As":[109],"number":[111],"increases,":[118],"accuracy":[121],"increases":[122],"becomes":[124],"more":[125],"stable,":[126],"peaking":[127],"when":[128],"includes":[132],"achieving":[136],"average":[138],"rate":[140],"99.57%":[142],"(\u00b1":[143],"0.37%).":[144],"addition,":[146],"part":[147],"subset":[151],"is":[152],"extracted":[153],"recombined":[155],"into":[156],"new":[158],"dataset":[159],"better":[162],"classification":[163],"performances":[164],"models":[166],"can":[167],"be":[168],"achieved":[169],"set.":[173],"method":[175],"proposed":[176],"effectively":[177],"mitigates":[178],"doffing":[186],"results.":[189]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}