{"id":"https://openalex.org/W4283811013","doi":"https://doi.org/10.1109/ncc55593.2022.9806722","title":"Non-Contact HR Extraction from Different Color Spaces Using RGB Camera","display_name":"Non-Contact HR Extraction from Different Color Spaces Using RGB Camera","publication_year":2022,"publication_date":"2022-05-24","ids":{"openalex":"https://openalex.org/W4283811013","doi":"https://doi.org/10.1109/ncc55593.2022.9806722"},"language":"en","primary_location":{"id":"doi:10.1109/ncc55593.2022.9806722","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncc55593.2022.9806722","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/A5071053964","display_name":"Arpita Panigrahi","orcid":null},"institutions":[{"id":"https://openalex.org/I16292982","display_name":"National Institute of Technology Rourkela","ror":"https://ror.org/011gmn932","country_code":"IN","type":"education","lineage":["https://openalex.org/I16292982"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Arpita Panigrahi","raw_affiliation_strings":["National Institute of Technology, Rourkela,Department of Electronics and Communication,Rourkela,India,769008"],"affiliations":[{"raw_affiliation_string":"National Institute of Technology, Rourkela,Department of Electronics and Communication,Rourkela,India,769008","institution_ids":["https://openalex.org/I16292982"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052623540","display_name":"Hemant Sharma","orcid":"https://orcid.org/0000-0001-6838-9663"},"institutions":[{"id":"https://openalex.org/I16292982","display_name":"National Institute of Technology Rourkela","ror":"https://ror.org/011gmn932","country_code":"IN","type":"education","lineage":["https://openalex.org/I16292982"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Hemant Sharma","raw_affiliation_strings":["National Institute of Technology, Rourkela,Department of Electronics and Communication,Rourkela,India,769008"],"affiliations":[{"raw_affiliation_string":"National Institute of Technology, Rourkela,Department of Electronics and Communication,Rourkela,India,769008","institution_ids":["https://openalex.org/I16292982"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5071053964"],"corresponding_institution_ids":["https://openalex.org/I16292982"],"apc_list":null,"apc_paid":null,"fwci":0.7205,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.64509766,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"332","last_page":"337"},"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/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.9950000047683716,"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9883999824523926,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.8470548987388611},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.7276183366775513},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6612013578414917},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5571670532226562},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5259820818901062},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.48607829213142395},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4554634988307953},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43080177903175354},{"id":"https://openalex.org/keywords/color-space","display_name":"Color space","score":0.4246198236942291},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4214209020137787},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3437110185623169},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14242535829544067}],"concepts":[{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.8470548987388611},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.7276183366775513},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6612013578414917},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5571670532226562},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5259820818901062},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.48607829213142395},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4554634988307953},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43080177903175354},{"id":"https://openalex.org/C2961294","wikidata":"https://www.wikidata.org/wiki/Q166863","display_name":"Color space","level":3,"score":0.4246198236942291},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4214209020137787},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3437110185623169},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14242535829544067},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ncc55593.2022.9806722","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncc55593.2022.9806722","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":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.6499999761581421}],"awards":[{"id":"https://openalex.org/G129385","display_name":null,"funder_award_id":"SRG/2019/001401","funder_id":"https://openalex.org/F4320334771","funder_display_name":"Science and Engineering Research Board"}],"funders":[{"id":"https://openalex.org/F4320334771","display_name":"Science and Engineering Research Board","ror":"https://ror.org/03ffdsr55"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1984026713","https://openalex.org/W1984554603","https://openalex.org/W1986273245","https://openalex.org/W2003922338","https://openalex.org/W2016778993","https://openalex.org/W2029745771","https://openalex.org/W2069692225","https://openalex.org/W2126178892","https://openalex.org/W2128721925","https://openalex.org/W2139293067","https://openalex.org/W2164598857","https://openalex.org/W2311440533","https://openalex.org/W2424269919","https://openalex.org/W2520509592","https://openalex.org/W2548034104","https://openalex.org/W2766766681","https://openalex.org/W2901798948","https://openalex.org/W2903559293","https://openalex.org/W2946558592","https://openalex.org/W2984922178","https://openalex.org/W3048339597","https://openalex.org/W3123889991","https://openalex.org/W3136415279","https://openalex.org/W3199434297","https://openalex.org/W4200617311","https://openalex.org/W4297816351","https://openalex.org/W6698986724","https://openalex.org/W6743449970"],"related_works":["https://openalex.org/W1655795019","https://openalex.org/W2028896475","https://openalex.org/W2082216369","https://openalex.org/W2150382074","https://openalex.org/W2390727152","https://openalex.org/W2000042884","https://openalex.org/W2385373070","https://openalex.org/W3198104320","https://openalex.org/W2364571238","https://openalex.org/W4316813138"],"abstract_inverted_index":{"Nowadays,":[0],"non-contact":[1,234],"vital":[2,235],"sign":[3,236],"measurement":[4],"from":[5,45,59,64,213,225],"facial":[6,47],"videos":[7],"using":[8,104,120,129],"an":[9],"RGB":[10,48,66],"camera":[11],"has":[12],"gained":[13],"popularity":[14],"among":[15],"researchers":[16],"as":[17],"it":[18],"is":[19,51,102,113],"a":[20,35,70],"feasible":[21],"and":[22,28,109,137,155,174,183,188,193],"convenient":[23],"method":[24],"suitable":[25],"for":[26,40,161,201,233],"personalized":[27],"clinical":[29],"health":[30],"monitoring.":[31,237],"This":[32,219],"paper":[33],"proposes":[34],"simple":[36],"but":[37],"cogent":[38],"technique":[39,145,204],"heart":[41],"rate":[42],"(HR)":[43],"estimation":[44,72],"the":[46,54,65,74,82,95,105,110,117,121,140,143,150,162,202,216,226],"videos.":[49],"It":[50],"suggested":[52],"that":[53,222],"integration":[55],"of":[56,73,77,149,215],"color":[57,61,100,223,228],"channels":[58,224],"different":[60],"spaces":[62,229],"derived":[63],"model":[67],"can":[68,230],"provide":[69],"better":[71],"pulsating":[75],"component":[76,107],"arterial":[78],"blood":[79,91],"synchronous":[80],"with":[81],"cardiac":[83],"cycle.":[84],"The":[85,125],"shared":[86],"pulse":[87],"signal":[88,112],"related":[89],"to":[90,115,207],"volumetric":[92],"changes":[93],"underneath":[94],"skin":[96],"existing":[97],"in":[98],"these":[99],"signals":[101],"separated":[103],"principal":[106],"analysis,":[108,142],"resultant":[111],"used":[114,232],"determine":[116],"HR":[118],"value":[119],"short-time":[122],"Fourier":[123],"transform.":[124],"experiments":[126],"are":[127,205],"performed":[128],"three":[130,163],"publicly":[131],"available":[132],"datasets":[133,164],"including":[134],"PURE,":[135],"UBFC-rPPG,":[136],"Cohface.":[138],"In":[139],"experimental":[141],"proposed":[144,203],"yields":[146],"lower":[147,209],"values":[148],"mean":[151,157],"absolute":[152],"error":[153,159],"(MAE)":[154],"root":[156],"square":[158],"(RMSE)":[160],"as,":[165],"PURE:":[166],"MAE":[167,180,190],"=":[168,176,181,185,191,195],"1.65":[169],"beats":[170],"per":[171],"minute":[172],"(bpm)":[173],"RMSE":[175,184,194],"2.9":[177],"bpm,":[178,187],"UBFC-rPPG:":[179],"2.57":[182],"5.57":[186],"Cohface:":[189],"4.51bpm":[192],"6.5":[196],"bpm.":[197],"These":[198],"performance":[199],"measures":[200],"found":[206],"be":[208,231],"than":[210],"those":[211],"obtained":[212],"some":[214],"state-of-art":[217],"methods.":[218],"study":[220],"suggests":[221],"alternative":[227]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}