{"id":"https://openalex.org/W4297005833","doi":"https://doi.org/10.3390/s22197185","title":"Dynamic Hand Gesture Recognition Using Electrical Impedance Tomography","display_name":"Dynamic Hand Gesture Recognition Using Electrical Impedance Tomography","publication_year":2022,"publication_date":"2022-09-22","ids":{"openalex":"https://openalex.org/W4297005833","doi":"https://doi.org/10.3390/s22197185","pmid":"https://pubmed.ncbi.nlm.nih.gov/36236283"},"language":"en","primary_location":{"id":"doi:10.3390/s22197185","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22197185","pdf_url":"https://www.mdpi.com/1424-8220/22/19/7185/pdf?version=1663831344","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/1424-8220/22/19/7185/pdf?version=1663831344","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018484706","display_name":"Xiuyan Li","orcid":"https://orcid.org/0000-0003-0910-4431"},"institutions":[{"id":"https://openalex.org/I198091727","display_name":"Tiangong University","ror":"https://ror.org/00xsr9m91","country_code":"CN","type":"education","lineage":["https://openalex.org/I198091727"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiuyan Li","raw_affiliation_strings":["School of Electronic and Information Engineering, Tiangong University, Tianjin 300387, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Tiangong University, Tianjin 300387, China","institution_ids":["https://openalex.org/I198091727"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101142926","display_name":"Jianrui Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I198091727","display_name":"Tiangong University","ror":"https://ror.org/00xsr9m91","country_code":"CN","type":"education","lineage":["https://openalex.org/I198091727"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianrui Sun","raw_affiliation_strings":["School of Electronic and Information Engineering, Tiangong University, Tianjin 300387, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Tiangong University, Tianjin 300387, China","institution_ids":["https://openalex.org/I198091727"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100341261","display_name":"Qi Wang","orcid":"https://orcid.org/0000-0002-1328-8571"},"institutions":[{"id":"https://openalex.org/I198091727","display_name":"Tiangong University","ror":"https://ror.org/00xsr9m91","country_code":"CN","type":"education","lineage":["https://openalex.org/I198091727"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Wang","raw_affiliation_strings":["School of Electronic and Information Engineering, Tiangong University, Tianjin 300387, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Tiangong University, Tianjin 300387, China","institution_ids":["https://openalex.org/I198091727"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100739594","display_name":"Ronghua Zhang","orcid":"https://orcid.org/0000-0001-5977-1713"},"institutions":[{"id":"https://openalex.org/I198091727","display_name":"Tiangong University","ror":"https://ror.org/00xsr9m91","country_code":"CN","type":"education","lineage":["https://openalex.org/I198091727"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ronghua Zhang","raw_affiliation_strings":["School of Artificial Intelligence, Tiangong University, Tianjin 300387, China"],"raw_orcid":"https://orcid.org/0000-0001-5977-1713","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Tiangong University, Tianjin 300387, China","institution_ids":["https://openalex.org/I198091727"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114084268","display_name":"Xiaojie Duan","orcid":null},"institutions":[{"id":"https://openalex.org/I198091727","display_name":"Tiangong University","ror":"https://ror.org/00xsr9m91","country_code":"CN","type":"education","lineage":["https://openalex.org/I198091727"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojie Duan","raw_affiliation_strings":["School of Electronic and Information Engineering, Tiangong University, Tianjin 300387, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Tiangong University, Tianjin 300387, China","institution_ids":["https://openalex.org/I198091727"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020541310","display_name":"Yukuan Sun","orcid":"https://orcid.org/0000-0002-8886-6137"},"institutions":[{"id":"https://openalex.org/I198091727","display_name":"Tiangong University","ror":"https://ror.org/00xsr9m91","country_code":"CN","type":"education","lineage":["https://openalex.org/I198091727"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yukuan Sun","raw_affiliation_strings":["School of Computer Science and Technology, Tiangong University, Tianjin 300387, China"],"raw_orcid":"https://orcid.org/0000-0002-8886-6137","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Tiangong University, Tianjin 300387, China","institution_ids":["https://openalex.org/I198091727"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100707504","display_name":"Jianming Wang","orcid":"https://orcid.org/0000-0002-6235-1362"},"institutions":[{"id":"https://openalex.org/I198091727","display_name":"Tiangong University","ror":"https://ror.org/00xsr9m91","country_code":"CN","type":"education","lineage":["https://openalex.org/I198091727"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianming Wang","raw_affiliation_strings":["School of Electronic and Information Engineering, Tiangong University, Tianjin 300387, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Tiangong University, Tianjin 300387, China","institution_ids":["https://openalex.org/I198091727"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100707504"],"corresponding_institution_ids":["https://openalex.org/I198091727"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.9718,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.73835058,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"22","issue":"19","first_page":"7185","last_page":"7185"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11778","display_name":"Electrical and Bioimpedance Tomography","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11778","display_name":"Electrical and Bioimpedance Tomography","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9889000058174133,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T14189","display_name":"Intravenous Infusion Technology and Safety","score":0.9865999817848206,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.8123637437820435},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.6658660173416138},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6403855085372925},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6082709431648254},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.55795818567276},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.49980950355529785},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.48388728499412537},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.46359983086586},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45947781205177307},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.44644874334335327},{"id":"https://openalex.org/keywords/electrical-impedance-tomography","display_name":"Electrical impedance tomography","score":0.4113214612007141},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3938641846179962},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3452158570289612},{"id":"https://openalex.org/keywords/electrical-impedance","display_name":"Electrical impedance","score":0.22650399804115295}],"concepts":[{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.8123637437820435},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.6658660173416138},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6403855085372925},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6082709431648254},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.55795818567276},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.49980950355529785},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.48388728499412537},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.46359983086586},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45947781205177307},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.44644874334335327},{"id":"https://openalex.org/C155175808","wikidata":"https://www.wikidata.org/wiki/Q1326472","display_name":"Electrical impedance tomography","level":3,"score":0.4113214612007141},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3938641846179962},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3452158570289612},{"id":"https://openalex.org/C17829176","wikidata":"https://www.wikidata.org/wiki/Q179043","display_name":"Electrical impedance","level":2,"score":0.22650399804115295},{"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[{"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":"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":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D006225","descriptor_name":"Hand","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D006225","descriptor_name":"Hand","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","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":"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":"D014054","descriptor_name":"Tomography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014054","descriptor_name":"Tomography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014054","descriptor_name":"Tomography","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},{"descriptor_ui":"D017097","descriptor_name":"Electric Impedance","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017097","descriptor_name":"Electric Impedance","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017097","descriptor_name":"Electric Impedance","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.3390/s22197185","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22197185","pdf_url":"https://www.mdpi.com/1424-8220/22/19/7185/pdf?version=1663831344","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:36236283","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36236283","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:doaj.org/article:d22fb855630e456f9e86f74552c29548","is_oa":true,"landing_page_url":"https://doaj.org/article/d22fb855630e456f9e86f74552c29548","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 22, Iss 19, p 7185 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/22/19/7185/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s22197185","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"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; Volume 22; Issue 19; Pages: 7185","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:9571940","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9571940","pdf_url":null,"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"}],"best_oa_location":{"id":"doi:10.3390/s22197185","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22197185","pdf_url":"https://www.mdpi.com/1424-8220/22/19/7185/pdf?version=1663831344","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":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6000000238418579}],"awards":[{"id":"https://openalex.org/G1848351460","display_name":null,"funder_award_id":"62071328","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2468239436","display_name":null,"funder_award_id":"Grant 62072335 and Grant 62071328.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3748057441","display_name":null,"funder_award_id":"Grant 61903273","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4851529722","display_name":null,"funder_award_id":"61903273","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6228446939","display_name":null,"funder_award_id":"Grant 61872269","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6948971276","display_name":null,"funder_award_id":"62072335","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6998032734","display_name":null,"funder_award_id":"61872269","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/W4297005833.pdf"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W1506441995","https://openalex.org/W1634271890","https://openalex.org/W1971918411","https://openalex.org/W1992153419","https://openalex.org/W2018260525","https://openalex.org/W2037883862","https://openalex.org/W2040117150","https://openalex.org/W2048564825","https://openalex.org/W2081881221","https://openalex.org/W2104990187","https://openalex.org/W2125283600","https://openalex.org/W2136132422","https://openalex.org/W2157331557","https://openalex.org/W2163757302","https://openalex.org/W2209204668","https://openalex.org/W2509431176","https://openalex.org/W2520774990","https://openalex.org/W2612429929","https://openalex.org/W2910732135","https://openalex.org/W2946227890","https://openalex.org/W2962692195","https://openalex.org/W2972178360","https://openalex.org/W2978671283","https://openalex.org/W3000972117","https://openalex.org/W3005448318","https://openalex.org/W3012064747","https://openalex.org/W3029433960","https://openalex.org/W3039938743","https://openalex.org/W3161880214","https://openalex.org/W3193081801","https://openalex.org/W3195009086","https://openalex.org/W3206135754","https://openalex.org/W3216182739","https://openalex.org/W3217206725","https://openalex.org/W4220777130","https://openalex.org/W4249279051","https://openalex.org/W4283742965","https://openalex.org/W6772922908","https://openalex.org/W6779856196"],"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/W3174643231"],"abstract_inverted_index":{"Electrical":[0],"impedance":[1],"tomography":[2],"(EIT)":[3],"has":[4,25,36,182,189],"been":[5],"applied":[6],"in":[7,59,82,144],"the":[8,18,66,89,96,101,105,110,114,149,158,161,167,175,194,202],"field":[9],"of":[10,68,88,104,113,160,178],"human-computer":[11],"interaction":[12],"due":[13],"to":[14,64,99,146],"its":[15],"advantages":[16],"including":[17],"fact":[19],"that":[20],"it":[21],"is":[22,80,93,135,142,164],"non-invasive":[23],"and":[24,30,54,128,152,172,192],"both":[26],"low":[27,32],"power":[28],"consumption":[29],"a":[31,75,117,123,156],"cost.":[33],"Previous":[34],"work":[35],"focused":[37],"on":[38,43,73,199],"static":[39,47],"gesture":[40,70,196],"recognition":[41,71,111,176,197],"based":[42,72,198],"EIT.":[44],"Compared":[45],"with":[46],"gestures,":[48,116],"dynamic":[49,69,106,115,195],"gestures":[50],"are":[51],"more":[52,57],"informative":[53],"can":[55],"achieve":[56],"functions":[58],"human-machine":[60],"collaboration.":[61],"In":[62],"order":[63,145],"verify":[65],"feasibility":[67],"EIT,":[74],"traditional":[76],"excitation":[77,91,169],"drive":[78,86,170],"pattern":[79,87,171],"optimized":[81],"this":[83],"paper.":[84],"The":[85,137,186],"fixed":[90],"electrode":[92],"tested":[94],"for":[95,201],"first":[97,203],"time":[98],"simplify":[100],"measurement":[102],"process":[103],"gesture.":[107],"To":[108],"improve":[109],"accuracy":[112,177],"dual-channel":[118],"feature":[119],"extraction":[120],"network":[121,126],"combining":[122],"convolutional":[124],"neural":[125],"(CNN)":[127],"gated":[129],"recurrent":[130],"unit":[131],"(GRU),":[132],"namely":[133],"CG-SVM,":[134],"proposed.":[136],"new":[138,168,187],"center":[139],"distance":[140,151],"loss":[141],"designed":[143],"simultaneously":[147],"supervise":[148],"intra-class":[150],"inter-class":[153],"distance.":[154],"As":[155],"result,":[157],"discriminability":[159],"confusing":[162],"data":[163,181],"improved.":[165],"With":[166],"classification":[173],"network,":[174],"different":[179],"interference":[180],"increased":[183],"by":[184],"2.7~14.2%.":[185],"method":[188],"stronger":[190],"robustness,":[191],"realizes":[193],"EIT":[200],"time.":[204]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":4}],"updated_date":"2026-05-22T06:13:13.366637","created_date":"2025-10-10T00:00:00"}