{"id":"https://openalex.org/W4283819817","doi":"https://doi.org/10.1109/ncc55593.2022.9806810","title":"Heart Rate Estimation from Facial Video Sequences using Fast Independent Component Analysis","display_name":"Heart Rate Estimation from Facial Video Sequences using Fast Independent Component Analysis","publication_year":2022,"publication_date":"2022-05-24","ids":{"openalex":"https://openalex.org/W4283819817","doi":"https://doi.org/10.1109/ncc55593.2022.9806810"},"language":"en","primary_location":{"id":"doi:10.1109/ncc55593.2022.9806810","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncc55593.2022.9806810","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 National Conference on Communications (NCC)","raw_type":"proceedings-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/A5051625634","display_name":"Hemlata G. Biradar","orcid":null},"institutions":[{"id":"https://openalex.org/I4210153931","display_name":"D.Y. Patil University","ror":"https://ror.org/045qb5273","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210153931"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Hemlata G. Biradar","raw_affiliation_strings":["Ramrao Adik Institute of Technology, D. Y. Patil Deemed to be University,Navi Mumbai,India","Ramrao Adik Institute of Technology, D. Y. Patil Deemed to be University, Navi Mumbai, India"],"affiliations":[{"raw_affiliation_string":"Ramrao Adik Institute of Technology, D. Y. Patil Deemed to be University,Navi Mumbai,India","institution_ids":["https://openalex.org/I4210153931"]},{"raw_affiliation_string":"Ramrao Adik Institute of Technology, D. Y. Patil Deemed to be University, Navi Mumbai, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001211564","display_name":"Jayanand P. Gawande","orcid":"https://orcid.org/0000-0003-0863-7332"},"institutions":[{"id":"https://openalex.org/I4210153931","display_name":"D.Y. Patil University","ror":"https://ror.org/045qb5273","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210153931"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Jayanand P. Gawande","raw_affiliation_strings":["Ramrao Adik Institute of Technology, D. Y. Patil Deemed to be University,Navi Mumbai,India","Ramrao Adik Institute of Technology, D. Y. Patil Deemed to be University, Navi Mumbai, India"],"affiliations":[{"raw_affiliation_string":"Ramrao Adik Institute of Technology, D. Y. Patil Deemed to be University,Navi Mumbai,India","institution_ids":["https://openalex.org/I4210153931"]},{"raw_affiliation_string":"Ramrao Adik Institute of Technology, D. Y. Patil Deemed to be University, Navi Mumbai, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5051625634"],"corresponding_institution_ids":["https://openalex.org/I4210153931"],"apc_list":null,"apc_paid":null,"fwci":0.2402,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.45335974,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"88","last_page":"93"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9997000098228455,"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":0.9997000098228455,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9987000226974487,"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/fastica","display_name":"FastICA","score":0.955255925655365},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent component analysis","score":0.9390285611152649},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6431769728660583},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5897500514984131},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5641840696334839},{"id":"https://openalex.org/keywords/negentropy","display_name":"Negentropy","score":0.5616821050643921},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.48493435978889465},{"id":"https://openalex.org/keywords/blind-signal-separation","display_name":"Blind signal separation","score":0.4457882344722748},{"id":"https://openalex.org/keywords/component-analysis","display_name":"Component analysis","score":0.42468389868736267},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36681076884269714},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.35516881942749023},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.25288552045822144},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06818914413452148}],"concepts":[{"id":"https://openalex.org/C157709420","wikidata":"https://www.wikidata.org/wiki/Q3739974","display_name":"FastICA","level":4,"score":0.955255925655365},{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.9390285611152649},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6431769728660583},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5897500514984131},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5641840696334839},{"id":"https://openalex.org/C118346863","wikidata":"https://www.wikidata.org/wiki/Q252552","display_name":"Negentropy","level":3,"score":0.5616821050643921},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.48493435978889465},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.4457882344722748},{"id":"https://openalex.org/C2780692498","wikidata":"https://www.wikidata.org/wiki/Q16950721","display_name":"Component analysis","level":2,"score":0.42468389868736267},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36681076884269714},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.35516881942749023},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.25288552045822144},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06818914413452148},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ncc55593.2022.9806810","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncc55593.2022.9806810","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 National Conference on Communications (NCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.6299999952316284,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1494916300","https://openalex.org/W1528784850","https://openalex.org/W1984554603","https://openalex.org/W2003922338","https://openalex.org/W2008821584","https://openalex.org/W2019502123","https://openalex.org/W2044935899","https://openalex.org/W2069692225","https://openalex.org/W2096789154","https://openalex.org/W2107634464","https://openalex.org/W2130102735","https://openalex.org/W2141622014","https://openalex.org/W2164598857","https://openalex.org/W2424269919","https://openalex.org/W2520509592","https://openalex.org/W2574492260","https://openalex.org/W2606545876","https://openalex.org/W2807138694","https://openalex.org/W2891834928","https://openalex.org/W2893758214","https://openalex.org/W2898940198","https://openalex.org/W2899646364","https://openalex.org/W3133613174","https://openalex.org/W4297816351","https://openalex.org/W6631797395","https://openalex.org/W6684392942","https://openalex.org/W6743449970","https://openalex.org/W6755232722"],"related_works":["https://openalex.org/W2352390542","https://openalex.org/W2350138011","https://openalex.org/W4361186821","https://openalex.org/W2046761971","https://openalex.org/W2048239264","https://openalex.org/W2038313288","https://openalex.org/W915513920","https://openalex.org/W2393502243","https://openalex.org/W1967276093","https://openalex.org/W2897887562"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,13,65],"non-contact":[4],"heart":[5,105],"rate":[6,98,106,129],"measurement":[7],"method":[8,26,126],"is":[9,27,72,82,102,117,130],"proposed,":[10],"which":[11],"gives":[12],"comfortable":[14],"physiological":[15],"examination":[16],"of":[17,23,37,50,85,88],"cardiac":[18],"pulse":[19,112],"without":[20],"the":[21,38,51,61],"use":[22],"electrodes.":[24],"This":[25,115],"based":[28],"on":[29,46],"automated":[30],"face":[31],"tracking":[32],"and":[33,44,58,94,121,139],"blind":[34],"source":[35],"separation":[36],"colour":[39,47],"channels":[40],"into":[41],"separate":[42],"components":[43],"used":[45,83],"video":[48],"recordings":[49],"human":[52],"face.":[53],"Here":[54],"by":[55],"optimizing":[56],"non-Gaussianity":[57],"negentropy":[59],"for":[60],"recovered":[62],"signals,":[63],"an":[64],"FastICA":[66,101],"(Fast":[67],"Independent":[68,135],"component":[69],"Analysis)":[70],"algorithm":[71],"employed":[73],"to":[74],"extract":[75],"independent":[76],"components.":[77],"For":[78],"experimentation,":[79],"COHFACE":[80],"dataset":[81],"consisting":[84],"160":[86],"video's":[87],"40":[89],"different":[90],"people":[91],"(28":[92],"males":[93],"12":[95],"females).":[96],"Heart":[97],"estimated":[99],"with":[100,104,134,142],"compared":[103,133],"measured":[107],"using":[108,119],"Finger":[109],"blood":[110],"volume":[111],"(BVP)":[113],"sensor.":[114],"comparison":[116],"performed":[118],"Bland-Altman":[120],"correlation":[122],"analysis.":[123],"With":[124],"proposed":[125],"low":[127],"error":[128],"observed":[131],"when":[132],"Component":[136],"Analysis":[137],"(ICA)":[138],"other":[140],"methods":[141],"same":[143],"database.":[144]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
