{"id":"https://openalex.org/W4408355469","doi":"https://doi.org/10.1109/icassp49660.2025.10890856","title":"Dynamic ROI Adaptation for Accurate Non-Contact Heart Rate Estimation Using VGG-13 based Encoder-Decoder Model and Facial Landmarks","display_name":"Dynamic ROI Adaptation for Accurate Non-Contact Heart Rate Estimation Using VGG-13 based Encoder-Decoder Model and Facial Landmarks","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408355469","doi":"https://doi.org/10.1109/icassp49660.2025.10890856"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10890856","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10890856","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 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/A5108328076","display_name":"Aravind A Anil","orcid":null},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"education","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Aravind A Anil","raw_affiliation_strings":["Indian Institute of Technology Madras,Department of Electrical Engineering,Chennai,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Madras,Department of Electrical Engineering,Chennai,India","institution_ids":["https://openalex.org/I24676775"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104083876","display_name":"Srinivasa Karthik","orcid":null},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"education","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Srinivasa Karthik","raw_affiliation_strings":["Indian Institute of Technology Madras,Department of Electrical Engineering,Chennai,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Madras,Department of Electrical Engineering,Chennai,India","institution_ids":["https://openalex.org/I24676775"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056763944","display_name":"Mohanasankar Sivaprakasam","orcid":"https://orcid.org/0000-0002-6714-9147"},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"education","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mohanasankar Sivaprakasam","raw_affiliation_strings":["Indian Institute of Technology Madras,Department of Electrical Engineering,Chennai,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Madras,Department of Electrical Engineering,Chennai,India","institution_ids":["https://openalex.org/I24676775"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020295407","display_name":"Jayaraj Joseph","orcid":"https://orcid.org/0000-0002-7279-9099"},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"education","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Jayaraj Joseph","raw_affiliation_strings":["Indian Institute of Technology Madras,Department of Electrical Engineering,Chennai,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Madras,Department of Electrical Engineering,Chennai,India","institution_ids":["https://openalex.org/I24676775"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I24676775"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.7242000102996826,"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":0.7242000102996826,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.7002999782562256,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.6403999924659729,"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":0.7254853248596191},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.63787841796875},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5674572587013245},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.540000855922699},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5376267433166504},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4766448438167572},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.42795345187187195},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36173129081726074},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1690080761909485}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7254853248596191},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.63787841796875},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5674572587013245},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.540000855922699},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5376267433166504},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4766448438167572},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.42795345187187195},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36173129081726074},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1690080761909485},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10890856","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10890856","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/5","display_name":"Gender equality","score":0.5199999809265137}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1528784850","https://openalex.org/W2008821584","https://openalex.org/W2030081396","https://openalex.org/W2044935899","https://openalex.org/W2069692225","https://openalex.org/W2294700151","https://openalex.org/W2520509592","https://openalex.org/W2766766681","https://openalex.org/W2786529723","https://openalex.org/W2893758214","https://openalex.org/W2971280753","https://openalex.org/W2979526238","https://openalex.org/W2980278535","https://openalex.org/W2982078986","https://openalex.org/W3035903592","https://openalex.org/W3217726993","https://openalex.org/W4225636470","https://openalex.org/W4294975629","https://openalex.org/W4377236323","https://openalex.org/W4389542201","https://openalex.org/W4401072295","https://openalex.org/W4401072410","https://openalex.org/W4405488919","https://openalex.org/W4405489492"],"related_works":["https://openalex.org/W4390516098","https://openalex.org/W2161474341","https://openalex.org/W2997567050","https://openalex.org/W4302615923","https://openalex.org/W2181948922","https://openalex.org/W3203142394","https://openalex.org/W2351061015","https://openalex.org/W2384362569","https://openalex.org/W4220731478","https://openalex.org/W1974101135"],"abstract_inverted_index":{"Heart":[0],"rate":[1],"monitoring":[2],"using":[3,21,127],"cameras":[4],"is":[5],"gaining":[6],"attention":[7],"for":[8,18,36,147],"unobtrusive":[9],"health":[10],"tracking.":[11],"This":[12],"paper":[13],"proposes":[14],"an":[15],"improved":[16],"method":[17,117],"HR":[19],"calculation":[20],"ROI":[22,97],"adaptation":[23],"tailored":[24],"to":[25,69,95],"individual":[26],"facial":[27],"features.":[28],"A":[29],"VGG-13":[30],"based":[31],"encoder-decoder":[32],"model":[33],"was":[34,118],"used":[35],"skin":[37,65,87,112],"segmentation,":[38],"classifying":[39],"image":[40],"pixels":[41,107],"into":[42],"left":[43],"cheek,":[44,46],"right":[45],"and":[47,77,123,130,145,149],"forehead":[48,72],"regions,":[49],"achieving":[50,140],"a":[51],"Dice":[52],"coefficient":[53],"of":[54,63,83,105,143],"0.90.":[55],"ROIs":[56,84],"were":[57,111],"defined":[58],"by":[59],"the":[60,81,106,128],"exterior":[61],"coordinates":[62],"these":[64],"pixels,":[66],"adapting":[67],"naturally":[68],"features":[70],"like":[71],"size,":[73,75],"cheek":[74],"hairstyles,":[76],"spectacles.":[78],"To":[79],"address":[80],"challenge":[82],"with":[85,120],"insufficient":[86],"pixel":[88],"coverage,":[89],"we":[90],"integrated":[91],"Google":[92],"MediaPipe":[93],"landmarks":[94],"refine":[96],"selection,":[98],"ensuring":[99],"that":[100],"at":[101],"least":[102],"30":[103],"percent":[104],"in":[108],"each":[109],"region":[110],"pixels.":[113],"The":[114,134],"adaptive":[115,135],"multi-ROI":[116,125],"compared":[119],"traditional":[121],"single-forehead":[122],"non-adaptive":[124],"methods":[126],"POS":[129,148],"CHROM":[131],"rPPG":[132],"algorithms.":[133],"approach":[136],"showed":[137],"better":[138],"performance,":[139],"MAE":[141],"values":[142],"1.51":[144],"2.15":[146],"CHROM.":[150]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}