{"id":"https://openalex.org/W4399807521","doi":"https://doi.org/10.3390/s24123970","title":"Hand Gesture Recognition Based on High-Density Myoelectricity in Forearm Flexors in Humans","display_name":"Hand Gesture Recognition Based on High-Density Myoelectricity in Forearm Flexors in Humans","publication_year":2024,"publication_date":"2024-06-19","ids":{"openalex":"https://openalex.org/W4399807521","doi":"https://doi.org/10.3390/s24123970","pmid":"https://pubmed.ncbi.nlm.nih.gov/38931754"},"language":"en","primary_location":{"id":"doi:10.3390/s24123970","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24123970","pdf_url":"https://www.mdpi.com/1424-8220/24/12/3970/pdf?version=1718848799","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/24/12/3970/pdf?version=1718848799","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5029497289","display_name":"Xiaoling Chen","orcid":"https://orcid.org/0000-0003-3677-3753"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoling Chen","raw_affiliation_strings":["Institute of Electric Engineering, Yanshan University, Qinhuangdao 066004, China","Key Laboratory of Measurement Technology and Instrumentation of Hebei Province, Institute of Electric Engineering, Yanshan University, Qinhuangdao 066004, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Electric Engineering, Yanshan University, Qinhuangdao 066004, China","institution_ids":["https://openalex.org/I39333907"]},{"raw_affiliation_string":"Key Laboratory of Measurement Technology and Instrumentation of Hebei Province, Institute of Electric Engineering, Yanshan University, Qinhuangdao 066004, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015324041","display_name":"Huaigang Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huaigang Yang","raw_affiliation_strings":["Institute of Electric Engineering, Yanshan University, Qinhuangdao 066004, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Electric Engineering, Yanshan University, Qinhuangdao 066004, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101914206","display_name":"Dong Zhang","orcid":"https://orcid.org/0000-0002-0993-207X"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Zhang","raw_affiliation_strings":["Institute of Electric Engineering, Yanshan University, Qinhuangdao 066004, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Electric Engineering, Yanshan University, Qinhuangdao 066004, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101375161","display_name":"Xinfeng Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinfeng Hu","raw_affiliation_strings":["Institute of Electric Engineering, Yanshan University, Qinhuangdao 066004, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Electric Engineering, Yanshan University, Qinhuangdao 066004, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061377407","display_name":"Ping Xie","orcid":"https://orcid.org/0000-0001-5878-087X"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ping Xie","raw_affiliation_strings":["Institute of Electric Engineering, Yanshan University, Qinhuangdao 066004, China","Key Laboratory of Measurement Technology and Instrumentation of Hebei Province, Institute of Electric Engineering, Yanshan University, Qinhuangdao 066004, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Electric Engineering, Yanshan University, Qinhuangdao 066004, China","institution_ids":["https://openalex.org/I39333907"]},{"raw_affiliation_string":"Key Laboratory of Measurement Technology and Instrumentation of Hebei Province, Institute of Electric Engineering, Yanshan University, Qinhuangdao 066004, China","institution_ids":["https://openalex.org/I39333907"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5061377407"],"corresponding_institution_ids":["https://openalex.org/I39333907"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":0.634,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.60192978,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"24","issue":"12","first_page":"3970","last_page":"3970"},"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":0.998199999332428,"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":0.9915000200271606,"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/gesture-recognition","display_name":"Gesture recognition","score":0.8281880617141724},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.7728726863861084},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7530229687690735},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6211069226264954},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5629826188087463},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5587789416313171},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5578283667564392},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5157442688941956},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5068345665931702},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4626077115535736},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.448219895362854},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.4194563627243042},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39507243037223816}],"concepts":[{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.8281880617141724},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.7728726863861084},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7530229687690735},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6211069226264954},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5629826188087463},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5587789416313171},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5578283667564392},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5157442688941956},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5068345665931702},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4626077115535736},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.448219895362854},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.4194563627243042},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39507243037223816},{"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},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","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":"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":"D004576","descriptor_name":"Electromyography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005542","descriptor_name":"Forearm","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D005542","descriptor_name":"Forearm","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D005542","descriptor_name":"Forearm","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D005542","descriptor_name":"Forearm","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D005868","descriptor_name":"Gestures","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005868","descriptor_name":"Gestures","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005868","descriptor_name":"Gestures","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005868","descriptor_name":"Gestures","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006225","descriptor_name":"Hand","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D006225","descriptor_name":"Hand","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D006225","descriptor_name":"Hand","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D006225","descriptor_name":"Hand","qualifier_ui":"Q000502","qualifier_name":"physiology","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":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009068","descriptor_name":"Movement","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009068","descriptor_name":"Movement","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009068","descriptor_name":"Movement","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009068","descriptor_name":"Movement","qualifier_ui":"Q000502","qualifier_name":"physiology","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":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D025341","descriptor_name":"Principal Component Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D025341","descriptor_name":"Principal Component Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D025341","descriptor_name":"Principal Component Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D025341","descriptor_name":"Principal Component Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.3390/s24123970","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24123970","pdf_url":"https://www.mdpi.com/1424-8220/24/12/3970/pdf?version=1718848799","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:38931754","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38931754","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":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11207234","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11207234","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11207234/pdf/sensors-24-03970.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:8868ac697a064a91a4e8f2946c1f743b","is_oa":true,"landing_page_url":"https://doaj.org/article/8868ac697a064a91a4e8f2946c1f743b","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 24, Iss 12, p 3970 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/s24123970","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24123970","pdf_url":"https://www.mdpi.com/1424-8220/24/12/3970/pdf?version=1718848799","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"No poverty","id":"https://metadata.un.org/sdg/1","score":0.6000000238418579}],"awards":[{"id":"https://openalex.org/G278708218","display_name":null,"funder_award_id":"F2022203079","funder_id":"https://openalex.org/F4320322163","funder_display_name":"Natural Science Foundation of Hebei Province"},{"id":"https://openalex.org/G6608007857","display_name":null,"funder_award_id":"62371416","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7498843506","display_name":null,"funder_award_id":"22567619H","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"},{"id":"https://openalex.org/F4320322163","display_name":"Natural Science Foundation of Hebei Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4399807521.pdf"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W1970639711","https://openalex.org/W1976652320","https://openalex.org/W1979167116","https://openalex.org/W2002499457","https://openalex.org/W2004931716","https://openalex.org/W2013427553","https://openalex.org/W2014734344","https://openalex.org/W2017085332","https://openalex.org/W2036663497","https://openalex.org/W2043212614","https://openalex.org/W2044628302","https://openalex.org/W2047698863","https://openalex.org/W2059470517","https://openalex.org/W2089884466","https://openalex.org/W2113028304","https://openalex.org/W2113190957","https://openalex.org/W2119008936","https://openalex.org/W2122936696","https://openalex.org/W2129316790","https://openalex.org/W2149250980","https://openalex.org/W2160784802","https://openalex.org/W2168162876","https://openalex.org/W2169931829","https://openalex.org/W2262340947","https://openalex.org/W2295398032","https://openalex.org/W2303108962","https://openalex.org/W2365457334","https://openalex.org/W2417053782","https://openalex.org/W2516710120","https://openalex.org/W2555541061","https://openalex.org/W2592523922","https://openalex.org/W2614556472","https://openalex.org/W2743239999","https://openalex.org/W2769397349","https://openalex.org/W2770946600","https://openalex.org/W2887224044","https://openalex.org/W2888587908","https://openalex.org/W2922758829","https://openalex.org/W3008159994","https://openalex.org/W3043559739","https://openalex.org/W3101425804","https://openalex.org/W3161581460","https://openalex.org/W3204092239","https://openalex.org/W3217337493","https://openalex.org/W4280532335","https://openalex.org/W4308431913","https://openalex.org/W4316660821","https://openalex.org/W6713463484"],"related_works":["https://openalex.org/W2902873204","https://openalex.org/W2185750513","https://openalex.org/W2010878661","https://openalex.org/W3147379364","https://openalex.org/W2026258298","https://openalex.org/W3204639664","https://openalex.org/W2970836791","https://openalex.org/W2805039731","https://openalex.org/W2989699735","https://openalex.org/W4322710567"],"abstract_inverted_index":{"Electromyography-based":[0],"gesture":[1,24,82,150,166],"recognition":[2,25,83,101],"has":[3,17],"become":[4],"a":[5,35,39,72,105,134,180],"challenging":[6],"problem":[7],"in":[8],"the":[9,21,28,55,78,91,117,127,148,154,157,175,191,196,201],"decoding":[10,214],"of":[11,23,30,42,58,93,130,156,187,200],"fine":[12,211],"hand":[13,212],"movements.":[14,151],"Recent":[15],"research":[16],"focused":[18],"on":[19,71,216],"improving":[20],"accuracy":[22,177],"by":[26],"increasing":[27],"complexity":[29],"network":[31],"models.":[32],"However,":[33],"training":[34],"complex":[36],"model":[37],"necessitates":[38],"significant":[40],"amount":[41],"data,":[43],"thereby":[44],"escalating":[45],"both":[46],"user":[47,136],"burden":[48],"and":[49,97,116,145],"computational":[50,95],"costs.":[51],"Moreover,":[52],"owing":[53],"to":[54,76,85,89,143,174,198],"considerable":[56],"variability":[57],"surface":[59],"electromyography":[60],"(sEMG)":[61],"signals":[62],"across":[63],"different":[64],"users,":[65],"conventional":[66],"machine":[67],"learning":[68],"approaches":[69],"reliant":[70],"single":[73,181],"feature":[74,106,194],"fail":[75],"meet":[77],"demand":[79],"for":[80,209],"precise":[81],"tailored":[84],"individual":[86],"users.":[87],"Therefore,":[88],"solve":[90],"problems":[92],"large":[94],"cost":[96],"poor":[98],"cross-user":[99],"pattern":[100],"performance,":[102],"we":[103,160,183],"propose":[104],"selection":[107],"method":[108,123],"that":[109,132,172],"combines":[110],"mutual":[111],"information,":[112],"principal":[113],"component":[114],"analysis":[115],"Pearson":[118],"correlation":[119],"coefficient":[120],"(MPP).":[121],"This":[122,203],"can":[124],"filter":[125],"out":[126],"optimal":[128],"subset":[129],"features":[131],"match":[133],"specific":[135],"while":[137],"combining":[138],"with":[139,190],"an":[140,162,185,206],"SVM":[141],"classifier":[142],"accurately":[144],"efficiently":[146],"recognize":[147],"user's":[149],"To":[152],"validate":[153],"effectiveness":[155],"above":[158],"method,":[159],"designed":[161],"experiment":[163],"including":[164],"five":[165],"actions.":[167],"The":[168],"experimental":[169],"results":[170],"show":[171],"compared":[173],"classification":[176],"obtained":[178],"using":[179],"feature,":[182],"achieved":[184],"improvement":[186],"about":[188],"5%":[189],"optimally":[192],"selected":[193],"as":[195],"input":[197],"any":[199],"classifiers.":[202],"study":[204],"provides":[205],"effective":[207],"guarantee":[208],"user-specific":[210],"movement":[213],"based":[215],"sEMG":[217],"signals.":[218]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
