{"id":"https://openalex.org/W2903189466","doi":"https://doi.org/10.3233/978-1-61499-927-0-818","title":"Non-Contact Heart Rate Measurement Based on Facial Video","display_name":"Non-Contact Heart Rate Measurement Based on Facial Video","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2903189466","doi":"https://doi.org/10.3233/978-1-61499-927-0-818","mag":"2903189466"},"language":"en","primary_location":{"id":"doi:10.3233/978-1-61499-927-0-818","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-927-0-818","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","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/A5019873337","display_name":"Nan Zhou","orcid":"https://orcid.org/0000-0003-4771-8952"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou Nan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061765321","display_name":"Lei Huang","orcid":"https://orcid.org/0000-0003-0989-5392"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang Lei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112112963","display_name":"Huang Jifeng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang Jifeng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101730105","display_name":"Tao Pan","orcid":"https://orcid.org/0000-0002-7964-5252"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pan Tao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073144861","display_name":"Yepeng Ni","orcid":"https://orcid.org/0000-0001-6639-4266"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ni Yepeng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5116396000","display_name":"Shan Lianhai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shan Lianhai","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08992806,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.6194999814033508,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.6194999814033508,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.42226359248161316},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3720574975013733},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3689703941345215},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.32457590103149414}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42226359248161316},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3720574975013733},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3689703941345215},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.32457590103149414}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/978-1-61499-927-0-818","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-927-0-818","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Gender equality","id":"https://metadata.un.org/sdg/5","score":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407"],"abstract_inverted_index":{"Heart":[0],"rate":[1,19,44,88,113,134,154,171,178],"measurement":[2,20],"is":[3,22,75,89,115,135],"an":[4],"important":[5],"means":[6],"of":[7,12,28,40,51,94,110,126,161,175],"monitoring":[8],"the":[9,13,26,38,41,49,52,56,64,78,82,86,92,95,100,108,111,120,124,127,132,152,157,162,169,173,176],"physiological":[10],"status":[11],"human":[14],"body.":[15],"A":[16],"non-contact":[17],"heart":[18,43,87,112,133,153,170,177],"method":[21,33,144,160],"proposed":[23,158],"by":[24,67,77,98,118],"analyzing":[25],"change":[27],"pixels.":[29],"Multi-filter":[30],"and":[31,81,85,123,148,156],"sub-region":[32],"are":[34],"adopted":[35],"to":[36,129,150,167],"solve":[37],"problem":[39],"complex":[42],"signal":[45,114],"extraction":[46,109],"result.":[47],"As":[48],"independence":[50],"RGB":[53],"color":[54],"model,":[55],"green":[57],"component":[58],"signals":[59,66],"can":[60,145],"be":[61,146],"taken":[62],"from":[63],"mixed":[65],"using":[68,99],"Fast":[69],"ICA.":[70],"The":[71,103,138],"main":[72],"peak":[73],"noise":[74],"removed":[76],"wavelet":[79],"filtering":[80],"band-pass":[83],"filter,":[84],"obtained":[90],"in":[91],"analysis":[93],"energy":[96],"spectrum":[97],"Fourier":[101],"transform.":[102],"facial":[104,165],"organs":[105],"influence":[106],"on":[107],"effectively":[116],"reduced":[117],"dividing":[119],"face":[121,128],"region,":[122],"part":[125,166],"best":[130],"reflect":[131],"further":[136],"determined.":[137],"experimental":[139],"results":[140],"show":[141],"that":[142],"this":[143],"convenient":[147],"accurate":[149],"achieve":[151],"measurement,":[155],"division":[159],"most":[163],"appropriate":[164],"extract":[168],"enhances":[172],"application":[174],"measurement.":[179]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
