{"id":"https://openalex.org/W3194375331","doi":"https://doi.org/10.1109/tim.2021.3106132","title":"Measurement and Analysis of Human Body Channel Response for Biometric Recognition","display_name":"Measurement and Analysis of Human Body Channel Response for Biometric Recognition","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3194375331","doi":"https://doi.org/10.1109/tim.2021.3106132","mag":"3194375331"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2021.3106132","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2021.3106132","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081711934","display_name":"Taewook Kang","orcid":"https://orcid.org/0000-0001-9147-3898"},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Taewook Kang","raw_affiliation_strings":["AI SoC Research Division, Electronics and Telecommunications Research Institute (ETRI), Yuseong-gu, Daejeon 34129 Korea, and Department of Radio and Information Communications Engineering, Chungnam National University, Yuseong-gu, Daejeon 34134, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AI SoC Research Division, Electronics and Telecommunications Research Institute (ETRI), Yuseong-gu, Daejeon 34129 Korea, and Department of Radio and Information Communications Engineering, Chungnam National University, Yuseong-gu, Daejeon 34134, Korea","institution_ids":["https://openalex.org/I142401562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082525645","display_name":"Kwang\u2010Il Oh","orcid":"https://orcid.org/0000-0002-8715-7929"},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kwang-Il Oh","raw_affiliation_strings":["AI SoC Research Division, Electronics and Telecommunications Research Institute (ETRI), Yuseong-gu, Daejeon 34129 Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AI SoC Research Division, Electronics and Telecommunications Research Institute (ETRI), Yuseong-gu, Daejeon 34129 Korea","institution_ids":["https://openalex.org/I142401562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100767181","display_name":"Jae\u2010Jin Lee","orcid":"https://orcid.org/0000-0003-3260-1620"},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jae-Jin Lee","raw_affiliation_strings":["AI SoC Research Division, Electronics and Telecommunications Research Institute (ETRI), Yuseong-gu, Daejeon 34129 Korea"],"raw_orcid":"https://orcid.org/0000-0003-3260-1620","affiliations":[{"raw_affiliation_string":"AI SoC Research Division, Electronics and Telecommunications Research Institute (ETRI), Yuseong-gu, Daejeon 34129 Korea","institution_ids":["https://openalex.org/I142401562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009958196","display_name":"Beom-Su Park","orcid":"https://orcid.org/0000-0002-6717-7324"},"institutions":[{"id":"https://openalex.org/I145808223","display_name":"Hanbat National University","ror":"https://ror.org/00x514t95","country_code":"KR","type":"education","lineage":["https://openalex.org/I145808223"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Beom-Su Park","raw_affiliation_strings":["Department of Electronic Engineering, Hanbat National University, Yuseong-gu, Daejeon 34158, Korea"],"raw_orcid":"https://orcid.org/0000-0002-6717-7324","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Hanbat National University, Yuseong-gu, Daejeon 34158, Korea","institution_ids":["https://openalex.org/I145808223"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014416848","display_name":"Wangrok Oh","orcid":"https://orcid.org/0000-0001-8205-5432"},"institutions":[{"id":"https://openalex.org/I196345858","display_name":"Chungnam National University","ror":"https://ror.org/0227as991","country_code":"KR","type":"education","lineage":["https://openalex.org/I196345858"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Wangrok Oh","raw_affiliation_strings":["Department of Radio and Information Communications Engineering, Chungnam National University, Yuseong-gu, Daejeon 34134, Korea"],"raw_orcid":"https://orcid.org/0000-0001-8205-5432","affiliations":[{"raw_affiliation_string":"Department of Radio and Information Communications Engineering, Chungnam National University, Yuseong-gu, Daejeon 34134, Korea","institution_ids":["https://openalex.org/I196345858"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100694944","display_name":"Seong\u2010Eun Kim","orcid":"https://orcid.org/0000-0002-4518-4208"},"institutions":[{"id":"https://openalex.org/I118373667","display_name":"Seoul National University of Science and Technology","ror":"https://ror.org/00chfja07","country_code":"KR","type":"education","lineage":["https://openalex.org/I118373667"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seong-Eun Kim","raw_affiliation_strings":["Department of Applied Artificial Intelligence, Seoul National University of Science and Technology (SeoulTech), Nowon-gu, Seoul 01811, Korea. (e-mail: sekim@seoultech.ac.kr)"],"raw_orcid":"https://orcid.org/0000-0002-4518-4208","affiliations":[{"raw_affiliation_string":"Department of Applied Artificial Intelligence, Seoul National University of Science and Technology (SeoulTech), Nowon-gu, Seoul 01811, Korea. (e-mail: sekim@seoultech.ac.kr)","institution_ids":["https://openalex.org/I118373667"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.934,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.71700117,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"70","issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11932","display_name":"Wireless Body Area Networks","score":0.9998999834060669,"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/T11932","display_name":"Wireless Body Area Networks","score":0.9998999834060669,"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9825000166893005,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":0.9787999987602234,"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/biometrics","display_name":"Biometrics","score":0.8157098293304443},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6435773968696594},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.6208609342575073},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5586223602294922},{"id":"https://openalex.org/keywords/envelope","display_name":"Envelope (radar)","score":0.5264098048210144},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5256151556968689},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.521865963935852},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5143783688545227},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5128591060638428},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4958396852016449},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.48516136407852173},{"id":"https://openalex.org/keywords/chirp","display_name":"Chirp","score":0.47050994634628296},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4255502223968506},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4114609360694885},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19958221912384033},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1417754888534546},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.13627034425735474}],"concepts":[{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.8157098293304443},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6435773968696594},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.6208609342575073},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5586223602294922},{"id":"https://openalex.org/C65155139","wikidata":"https://www.wikidata.org/wiki/Q5380912","display_name":"Envelope (radar)","level":3,"score":0.5264098048210144},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5256151556968689},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.521865963935852},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5143783688545227},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5128591060638428},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4958396852016449},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.48516136407852173},{"id":"https://openalex.org/C132794960","wikidata":"https://www.wikidata.org/wiki/Q27304","display_name":"Chirp","level":3,"score":0.47050994634628296},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4255502223968506},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4114609360694885},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19958221912384033},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1417754888534546},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.13627034425735474},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C520434653","wikidata":"https://www.wikidata.org/wiki/Q38867","display_name":"Laser","level":2,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2021.3106132","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2021.3106132","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.5899999737739563,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W94523489","https://openalex.org/W877128296","https://openalex.org/W1901075642","https://openalex.org/W1937152484","https://openalex.org/W1985258161","https://openalex.org/W1985529456","https://openalex.org/W1993263677","https://openalex.org/W2004211009","https://openalex.org/W2008338741","https://openalex.org/W2036876617","https://openalex.org/W2038418650","https://openalex.org/W2058401212","https://openalex.org/W2063812706","https://openalex.org/W2076064578","https://openalex.org/W2081358760","https://openalex.org/W2087235720","https://openalex.org/W2095398224","https://openalex.org/W2111619626","https://openalex.org/W2119821739","https://openalex.org/W2130851966","https://openalex.org/W2154691736","https://openalex.org/W2157298821","https://openalex.org/W2169132460","https://openalex.org/W2187957596","https://openalex.org/W2191507142","https://openalex.org/W2343535265","https://openalex.org/W2522139545","https://openalex.org/W2558148709","https://openalex.org/W2603277485","https://openalex.org/W2605655455","https://openalex.org/W2610214313","https://openalex.org/W2737079090","https://openalex.org/W2781583592","https://openalex.org/W2891512841","https://openalex.org/W2896357942","https://openalex.org/W2914883440","https://openalex.org/W2915815650","https://openalex.org/W2921978214","https://openalex.org/W2932475397","https://openalex.org/W2963950150","https://openalex.org/W2969942625","https://openalex.org/W2974805517","https://openalex.org/W2980629337","https://openalex.org/W2996707706","https://openalex.org/W3004321584","https://openalex.org/W3008580541","https://openalex.org/W3034942609","https://openalex.org/W4239510810"],"related_works":["https://openalex.org/W2377235482","https://openalex.org/W2076845124","https://openalex.org/W2351454232","https://openalex.org/W2382227980","https://openalex.org/W2183964146","https://openalex.org/W2379932303","https://openalex.org/W3147744369","https://openalex.org/W4241440711","https://openalex.org/W2062586268","https://openalex.org/W2019582947"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,48,73,96],"highly":[4],"secure":[5],"and":[6,52,108,147,160,174,180,216],"convenient":[7],"biometric":[8,31,92],"system":[9],"for":[10,18,65,154,177,194],"user":[11,27],"recognition":[12],"based":[13,122],"on":[14,44,123],"body":[15,34,87],"channel":[16,35],"characteristics":[17],"electric":[19],"signal":[20,82],"transmission.":[21],"In":[22,223],"the":[23,26,45,54,59,79,85,102,112,133,136,142,155,170,178,195,206,221,225,234],"proposed":[24,55,90,235],"framework,":[25],"can":[28],"provide":[29],"reliable":[30],"features":[32,137],"of":[33,81,98,101,144,151,227],"responses":[36],"(BCRs)":[37],"simply":[38],"by":[39,118,168,205],"touching":[40],"an":[41,119],"electrode":[42],"surface":[43],"device":[46],"with":[47,188],"finger.":[49],"To":[50],"realize":[51],"verify":[53],"approach,":[56],"we":[57],"acquired":[58],"BCR":[60,104],"data":[61,192],"from":[62],"15":[63],"subjects":[64,134],"approximately":[66,211],"six":[67],"weeks":[68],"through":[69],"experiments":[70],"conducted":[71],"in":[72,84,141],"customized":[74],"measurement":[75],"setup":[76],"suited":[77],"to":[78,111,132,239],"principle":[80],"transmission":[83],"human":[86,113],"channel.":[88],"The":[89,126,163,198],"BCR-based":[91],"feature":[93],"(BBF)":[94],"comprises":[95],"series":[97],"envelope":[99],"vectors":[100],"received":[103],"when":[105],"applying":[106],"up-":[107],"down-chirp":[109],"signals":[110],"body,":[114],"which":[115],"is":[116],"extracted":[117],"interpolative":[120],"method":[121],"peak":[124],"detection.":[125],"BBFs":[127],"are":[128,237],"effectively":[129],"separable":[130],"according":[131],"because":[135],"magnify":[138],"quantitative":[139],"differences":[140],"aspect":[143],"path":[145],"losses":[146],"power":[148],"delay":[149],"profiles":[150],"individual":[152],"BCRs":[153],"frequency":[156],"range":[157],"between":[158],"1":[159],"10":[161],"MHz.":[162],"classification":[164,201],"performance":[165],"was":[166,203],"evaluated":[167],"splitting":[169],"dataset":[171],"into":[172],"80":[173],"20":[175],"%":[176,213],"training":[179],"testing,":[181],"respectively,":[182],"using":[183],"conventional":[184],"machine":[185,210],"learning":[186],"algorithms":[187],"uncorrelated":[189],"40":[190],"session":[191],"sets":[193],"respective":[196],"subjects.":[197,222],"highest":[199],"average":[200],"accuracy":[202],"achieved":[204],"kernel-based":[207],"support":[208],"vector":[209],"95.8":[212],"without":[214],"observable":[215],"biased":[217],"misidentification":[218],"cases":[219],"among":[220],"addition,":[224],"analysis":[226],"receiver":[228],"operating":[229],"characteristic":[230],"curves":[231],"shows":[232],"that":[233],"classifiers":[236],"robust":[238],"decision":[240],"boundaries":[241],"at":[242],"various":[243],"threshold":[244],"settings.":[245]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":6}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}