{"id":"https://openalex.org/W2687548481","doi":"https://doi.org/10.1109/icassp.2017.7953035","title":"Human recognition from photoplethysmography (PPG) based on non-fiducial features","display_name":"Human recognition from photoplethysmography (PPG) based on non-fiducial features","publication_year":2017,"publication_date":"2017-03-01","ids":{"openalex":"https://openalex.org/W2687548481","doi":"https://doi.org/10.1109/icassp.2017.7953035","mag":"2687548481"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2017.7953035","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2017.7953035","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5014914538","display_name":"Nima Karimian","orcid":"https://orcid.org/0000-0002-4590-7170"},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]},{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nima Karimian","raw_affiliation_strings":["University of Connecticut, University of Florida, Gainesville, FL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Connecticut, University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I140172145","https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100747200","display_name":"Zimu Guo","orcid":"https://orcid.org/0000-0002-3630-743X"},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]},{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zimu Guo","raw_affiliation_strings":["University of Connecticut, University of Florida, Gainesville, FL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Connecticut, University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I140172145","https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073054890","display_name":"Mark Tehranipoor","orcid":"https://orcid.org/0000-0003-4699-3231"},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]},{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mark Tehranipoor","raw_affiliation_strings":["University of Connecticut, University of Florida, Gainesville, FL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Connecticut, University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I140172145","https://openalex.org/I33213144"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009243659","display_name":"Domenic Forte","orcid":"https://orcid.org/0000-0002-2794-7320"},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]},{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Domenic Forte","raw_affiliation_strings":["University of Connecticut, University of Florida, Gainesville, FL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Connecticut, University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I140172145","https://openalex.org/I33213144"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.0747,"has_fulltext":false,"cited_by_count":61,"citation_normalized_percentile":{"value":0.98304589,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"4636","last_page":"4640"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9975000023841858,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive 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/fiducial-marker","display_name":"Fiducial marker","score":0.9093989729881287},{"id":"https://openalex.org/keywords/photoplethysmogram","display_name":"Photoplethysmogram","score":0.8309496641159058},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7885645627975464},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7074264287948608},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6567971706390381},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6287168860435486},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.626838743686676},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.5678380727767944},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5389635562896729},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5379005670547485},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5275993943214417},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.43115586042404175},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42336443066596985},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10860392451286316},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.07704716920852661}],"concepts":[{"id":"https://openalex.org/C173974348","wikidata":"https://www.wikidata.org/wiki/Q1469893","display_name":"Fiducial marker","level":2,"score":0.9093989729881287},{"id":"https://openalex.org/C116390426","wikidata":"https://www.wikidata.org/wiki/Q7187885","display_name":"Photoplethysmogram","level":3,"score":0.8309496641159058},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7885645627975464},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7074264287948608},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6567971706390381},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6287168860435486},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.626838743686676},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5678380727767944},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5389635562896729},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5379005670547485},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5275993943214417},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.43115586042404175},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42336443066596985},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10860392451286316},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.07704716920852661},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2017.7953035","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2017.7953035","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W175058090","https://openalex.org/W1591605500","https://openalex.org/W1638166892","https://openalex.org/W1884796122","https://openalex.org/W2119345305","https://openalex.org/W2124106073","https://openalex.org/W2151341607","https://openalex.org/W2162273778","https://openalex.org/W2163686179","https://openalex.org/W2282078507","https://openalex.org/W2483520614","https://openalex.org/W2516218154","https://openalex.org/W6726549255"],"related_works":["https://openalex.org/W4313547792","https://openalex.org/W4361019548","https://openalex.org/W2345184372","https://openalex.org/W3013515612","https://openalex.org/W2336974148","https://openalex.org/W2942471066","https://openalex.org/W2185970706","https://openalex.org/W2546942002","https://openalex.org/W2367537358","https://openalex.org/W2014395068"],"abstract_inverted_index":{"Photoplethysmography":[0],"(PPG)":[1],"signals":[2],"have":[3],"unique":[4],"identity":[5],"properties":[6],"for":[7,93],"human":[8,61],"recognition,":[9],"and":[10,68,75,81],"are":[11],"becoming":[12],"easier":[13],"to":[14,54],"capture":[15],"by":[16,103],"emerging":[17],"IoT":[18],"sensors.":[19],"Existing":[20],"research":[21],"on":[22,27],"PPG-based":[23,60],"biometric":[24],"systems":[25],"rely":[26],"fiducial":[28,67],"methods":[29,43,70],"that":[30,44,50],"extract":[31],"landmarks":[32],"from":[33],"the":[34,110],"PPG":[35],"signal":[36],"as":[37],"features.":[38],"This":[39],"paper":[40],"investigates":[41],"non-fiducial":[42,69],"operating":[45],"in":[46,56],"a":[47,78,105],"holistic":[48],"manner":[49],"is":[51],"less":[52],"sensitive":[53],"noise":[55],"landmarks.":[57],"We":[58,98],"compare":[59],"verification":[62],"of":[63,107],"42":[64],"subjects":[65],"with":[66],"(specifically,":[71],"discrete":[72],"wavelet":[73,94],"transform)":[74],"classification":[76],"using":[77],"neural":[79],"network":[80],"support":[82],"vector":[83],"machine.":[84],"The":[85],"experimental":[86],"results":[87,102],"demonstrate":[88],"higher":[89],"test":[90],"recognition":[91],"rates":[92],"transform":[95],"feature":[96],"extraction.":[97],"further":[99],"improve":[100],"our":[101],"selecting":[104],"subset":[106],"features":[108],"via":[109],"genetic":[111],"algorithm.":[112]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}