{"id":"https://openalex.org/W4415539986","doi":"https://doi.org/10.1145/3746027.3758255","title":"Gaze into the Heart: A Multi-View Video Dataset for rPPG and Health Biomarkers Estimation","display_name":"Gaze into the Heart: A Multi-View Video Dataset for rPPG and Health Biomarkers Estimation","publication_year":2025,"publication_date":"2025-10-25","ids":{"openalex":"https://openalex.org/W4415539986","doi":"https://doi.org/10.1145/3746027.3758255"},"language":null,"primary_location":{"id":"doi:10.1145/3746027.3758255","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746027.3758255","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2508.17924","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5120132217","display_name":"Konstantin Sergeevich Egorov","orcid":"https://orcid.org/0009-0006-6991-4136"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Konstantin Egorov","raw_affiliation_strings":["Sber AI Lab, Moscow, Russian Federation"],"raw_orcid":"https://orcid.org/0009-0006-6991-4136","affiliations":[{"raw_affiliation_string":"Sber AI Lab, Moscow, Russian Federation","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010224880","display_name":"Stepan Botman","orcid":"https://orcid.org/0000-0002-0141-8877"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Stepan Botman","raw_affiliation_strings":["Sber AI Lab, Moscow, Russian Federation"],"raw_orcid":"https://orcid.org/0000-0002-0141-8877","affiliations":[{"raw_affiliation_string":"Sber AI Lab, Moscow, Russian Federation","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084906936","display_name":"Pavel Blinov","orcid":"https://orcid.org/0009-0000-7583-7655"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pavel Blinov","raw_affiliation_strings":["Sber AI Lab, Moscow, Russian Federation"],"raw_orcid":"https://orcid.org/0009-0000-7583-7655","affiliations":[{"raw_affiliation_string":"Sber AI Lab, Moscow, Russian Federation","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020747247","display_name":"Galina Zubkova","orcid":"https://orcid.org/0000-0001-9555-1689"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Galina Zubkova","raw_affiliation_strings":["Sber AI Lab, Moscow, Russian Federation"],"raw_orcid":"https://orcid.org/0000-0001-9555-1689","affiliations":[{"raw_affiliation_string":"Sber AI Lab, Moscow, Russian Federation","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075660266","display_name":"Anton Ivaschenko","orcid":"https://orcid.org/0000-0001-7766-3011"},"institutions":[{"id":"https://openalex.org/I4210127240","display_name":"Samara State Medical University","ror":"https://ror.org/02z5czc07","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210127240"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Anton Ivaschenko","raw_affiliation_strings":["Samara State Medical University, Samara, Russian Federation"],"raw_orcid":"https://orcid.org/0000-0001-7766-3011","affiliations":[{"raw_affiliation_string":"Samara State Medical University, Samara, Russian Federation","institution_ids":["https://openalex.org/I4210127240"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091050828","display_name":"\u0410. \u0412. \u041a\u043e\u043b\u0441\u0430\u043d\u043e\u0432","orcid":"https://orcid.org/0000-0002-4144-7090"},"institutions":[{"id":"https://openalex.org/I4210127240","display_name":"Samara State Medical University","ror":"https://ror.org/02z5czc07","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210127240"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Alexander Kolsanov","raw_affiliation_strings":["Samara State Medical University, Samara, Russian Federation"],"raw_orcid":"https://orcid.org/0000-0002-4144-7090","affiliations":[{"raw_affiliation_string":"Samara State Medical University, Samara, Russian Federation","institution_ids":["https://openalex.org/I4210127240"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016964202","display_name":"A. Savchenko","orcid":"https://orcid.org/0000-0001-6196-0564"},"institutions":[{"id":"https://openalex.org/I4210160508","display_name":"Institute of Contemporary Art","ror":"https://ror.org/05ksgvj69","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210160508"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Andrey Savchenko","raw_affiliation_strings":["Sber AI Lab, Moscow, Russian Federation and ISP RAS Research Center for Trusted Artificial Intelligence, Moscow, Russian Federation"],"raw_orcid":"https://orcid.org/0000-0001-6196-0564","affiliations":[{"raw_affiliation_string":"Sber AI Lab, Moscow, Russian Federation and ISP RAS Research Center for Trusted Artificial Intelligence, Moscow, Russian Federation","institution_ids":["https://openalex.org/I4210160508"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5120132217"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.177,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.80809359,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"13053","last_page":"13059"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9980999827384949,"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/T10977","display_name":"Optical Imaging and Spectroscopy Techniques","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/photoplethysmogram","display_name":"Photoplethysmogram","score":0.8043000102043152},{"id":"https://openalex.org/keywords/gaze","display_name":"Gaze","score":0.5867000222206116},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.3538999855518341},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.33980000019073486},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.3276999890804291},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.3197999894618988}],"concepts":[{"id":"https://openalex.org/C116390426","wikidata":"https://www.wikidata.org/wiki/Q7187885","display_name":"Photoplethysmogram","level":3,"score":0.8043000102043152},{"id":"https://openalex.org/C2779916870","wikidata":"https://www.wikidata.org/wiki/Q14467155","display_name":"Gaze","level":2,"score":0.5867000222206116},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5770000219345093},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5586000084877014},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4293999969959259},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.3538999855518341},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.33980000019073486},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3375999927520752},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.3276999890804291},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.3197999894618988},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.29739999771118164},{"id":"https://openalex.org/C3017977704","wikidata":"https://www.wikidata.org/wiki/Q18745135","display_name":"Health data","level":3,"score":0.2897999882698059},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.28679999709129333},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.27959999442100525},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.274399995803833},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.2542000114917755},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2500999867916107}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3746027.3758255","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746027.3758255","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Multimedia","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2508.17924","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2508.17924","pdf_url":"https://arxiv.org/pdf/2508.17924","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2508.17924","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2508.17924","pdf_url":"https://arxiv.org/pdf/2508.17924","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1663861861","https://openalex.org/W1984026713","https://openalex.org/W2016778993","https://openalex.org/W2044935899","https://openalex.org/W2069692225","https://openalex.org/W2470957930","https://openalex.org/W2520509592","https://openalex.org/W2565639579","https://openalex.org/W2766766681","https://openalex.org/W2893758214","https://openalex.org/W2899238299","https://openalex.org/W2963433879","https://openalex.org/W3127282219","https://openalex.org/W3217726993","https://openalex.org/W4312358294","https://openalex.org/W4386108504","https://openalex.org/W4393547721"],"related_works":[],"abstract_inverted_index":{"Progress":[0],"in":[1,27,121,138],"remote":[2],"PhotoPlethysmoGraphy":[3],"(rPPG)":[4],"is":[5,78],"limited":[6],"by":[7],"the":[8,136,139],"critical":[9],"issues":[10],"of":[11,25,73,127,141],"existing":[12,119],"publicly":[13],"available":[14],"datasets:":[15],"small":[16],"size,":[17],"privacy":[18],"concerns":[19],"with":[20,80,118],"facial":[21],"videos,":[22],"and":[23,41,60,86,102,114,130],"lack":[24],"diversity":[26],"conditions.":[28],"The":[29,124],"paper":[30],"introduces":[31],"a":[32,81],"novel":[33],"comprehensive":[34],"large-scale":[35],"multi-view":[36],"video":[37,50],"dataset":[38,46,129],"for":[39],"rPPG":[40,112],"health":[42,88],"biomarkers":[43],"estimation.":[44],"Our":[45],"comprises":[47],"3600":[48],"synchronized":[49],"recordings":[51],"from":[52],"600":[53],"subjects,":[54],"captured":[55],"under":[56],"varied":[57],"conditions":[58],"(resting":[59],"post-exercise)":[61],"using":[62],"multiple":[63],"consumer-grade":[64],"cameras":[65],"at":[66],"different":[67],"angles.":[68],"To":[69],"enable":[70],"multimodal":[71],"analysis":[72],"physiological":[74],"states,":[75],"each":[76],"recording":[77],"paired":[79],"100":[82],"Hz":[83],"PPG":[84],"signal":[85],"extended":[87],"metrics,":[89],"such":[90],"as":[91],"electrocardiogram,":[92],"arterial":[93],"blood":[94],"pressure,":[95],"biomarkers,":[96],"temperature,":[97],"oxygen":[98],"saturation,":[99],"respiratory":[100],"rate,":[101],"stress":[103],"level.":[104],"Using":[105],"this":[106],"data,":[107],"we":[108],"train":[109],"an":[110],"efficient":[111],"model":[113,131],"compare":[115],"its":[116],"quality":[117],"approaches":[120],"cross-dataset":[122],"scenarios.":[123],"public":[125],"release":[126],"our":[128],"should":[132],"significantly":[133],"speed":[134],"up":[135],"progress":[137],"development":[140],"AI":[142],"medical":[143],"assistants.":[144]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-05-03T08:25:01.440150","created_date":"2025-10-25T00:00:00"}