{"id":"https://openalex.org/W4416926524","doi":"https://doi.org/10.1145/3770635","title":"REVIT: A Dataset and Benchmark for Remote Vital Sign Estimation in Real-World Settings","display_name":"REVIT: A Dataset and Benchmark for Remote Vital Sign Estimation in Real-World Settings","publication_year":2025,"publication_date":"2025-12-02","ids":{"openalex":"https://openalex.org/W4416926524","doi":"https://doi.org/10.1145/3770635"},"language":"en","primary_location":{"id":"doi:10.1145/3770635","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3770635","pdf_url":null,"source":{"id":"https://openalex.org/S4210219751","display_name":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","issn_l":"2474-9567","issn":["2474-9567"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1145/3770635","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077475062","display_name":"Ananyananda Dasari","orcid":"https://orcid.org/0000-0001-6718-5992"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ananyananda Dasari","raw_affiliation_strings":["Mechanical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA"],"raw_orcid":"https://orcid.org/0000-0001-6718-5992","affiliations":[{"raw_affiliation_string":"Mechanical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074537472","display_name":"Ambareesh Revanur","orcid":"https://orcid.org/0000-0001-5640-0052"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ambareesh Revanur","raw_affiliation_strings":["Robotics Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA"],"raw_orcid":"https://orcid.org/0000-0001-5640-0052","affiliations":[{"raw_affiliation_string":"Robotics Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120627916","display_name":"Sai Shweta Gadepally","orcid":"https://orcid.org/0009-0001-2535-1347"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sai Shweta Gadepally","raw_affiliation_strings":["Biomedical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA"],"raw_orcid":"https://orcid.org/0009-0001-2535-1347","affiliations":[{"raw_affiliation_string":"Biomedical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120627917","display_name":"Nathaniel Houston-Suluku","orcid":"https://orcid.org/0009-0000-5353-2033"},"institutions":[{"id":"https://openalex.org/I4210149513","display_name":"Sierra Leone Urban Research Centre","ror":"https://ror.org/05s21y527","country_code":"SL","type":"nonprofit","lineage":["https://openalex.org/I124357947","https://openalex.org/I182377803","https://openalex.org/I195729267","https://openalex.org/I4210149513","https://openalex.org/I45129253"]}],"countries":["SL"],"is_corresponding":false,"raw_author_name":"Nathaniel Houston-Suluku","raw_affiliation_strings":["Digital Health Interoperability Network (DHIN), Freetown, Sierra Leone"],"raw_orcid":"https://orcid.org/0009-0000-5353-2033","affiliations":[{"raw_affiliation_string":"Digital Health Interoperability Network (DHIN), Freetown, Sierra Leone","institution_ids":["https://openalex.org/I4210149513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120627918","display_name":"Sheku Kamara","orcid":"https://orcid.org/0009-0000-7105-0118"},"institutions":[{"id":"https://openalex.org/I4210149513","display_name":"Sierra Leone Urban Research Centre","ror":"https://ror.org/05s21y527","country_code":"SL","type":"nonprofit","lineage":["https://openalex.org/I124357947","https://openalex.org/I182377803","https://openalex.org/I195729267","https://openalex.org/I4210149513","https://openalex.org/I45129253"]}],"countries":["SL"],"is_corresponding":false,"raw_author_name":"Sheku Kamara","raw_affiliation_strings":["Digital Health Interoperability Network (DHIN), Freetown, Sierra Leone"],"raw_orcid":"https://orcid.org/0009-0000-7105-0118","affiliations":[{"raw_affiliation_string":"Digital Health Interoperability Network (DHIN), Freetown, Sierra Leone","institution_ids":["https://openalex.org/I4210149513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045790971","display_name":"L\u00e1szl\u00f3 A. Jeni","orcid":"https://orcid.org/0000-0002-2830-700X"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Laszlo A. Jeni","raw_affiliation_strings":["Robotics Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA"],"raw_orcid":"https://orcid.org/0000-0002-2830-700X","affiliations":[{"raw_affiliation_string":"Robotics Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018232256","display_name":"Conrad S. Tucker","orcid":"https://orcid.org/0000-0001-5365-0240"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Conrad Tucker","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, Pennsylvania, USA"],"raw_orcid":"https://orcid.org/0000-0001-5365-0240","affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, Pennsylvania, USA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"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":0.29917889,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":"4","first_page":"1","last_page":"40"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9351000189781189,"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":0.9351000189781189,"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":0.019899999722838402,"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/T13248","display_name":"Healthcare Technology and Patient Monitoring","score":0.010400000028312206,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/robustness","display_name":"Robustness (evolution)","score":0.8059999942779541},{"id":"https://openalex.org/keywords/generalizability-theory","display_name":"Generalizability theory","score":0.7305999994277954},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.6219000220298767},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.460099995136261},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4494999945163727},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.39800000190734863},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.3278000056743622}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8059999942779541},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.7305999994277954},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6883000135421753},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.6219000220298767},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5188999772071838},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4657000005245209},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.460099995136261},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4494999945163727},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.439300000667572},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.39800000190734863},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.3278000056743622},{"id":"https://openalex.org/C2776356880","wikidata":"https://www.wikidata.org/wiki/Q5381206","display_name":"Environmental data","level":2,"score":0.3197999894618988},{"id":"https://openalex.org/C67226441","wikidata":"https://www.wikidata.org/wiki/Q1665389","display_name":"Robust statistics","level":3,"score":0.31709998846054077},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.3005000054836273},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.27630001306533813},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.26460000872612},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.2612999975681305},{"id":"https://openalex.org/C2776890885","wikidata":"https://www.wikidata.org/wiki/Q1067560","display_name":"Vital signs","level":2,"score":0.2531000077724457}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3770635","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3770635","pdf_url":null,"source":{"id":"https://openalex.org/S4210219751","display_name":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","issn_l":"2474-9567","issn":["2474-9567"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3770635","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3770635","pdf_url":null,"source":{"id":"https://openalex.org/S4210219751","display_name":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","issn_l":"2474-9567","issn":["2474-9567"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1967906335","https://openalex.org/W1974791066","https://openalex.org/W1986273245","https://openalex.org/W1988315365","https://openalex.org/W2016778993","https://openalex.org/W2039948765","https://openalex.org/W2090060039","https://openalex.org/W2106633333","https://openalex.org/W2344197425","https://openalex.org/W2470957930","https://openalex.org/W2520509592","https://openalex.org/W2562153275","https://openalex.org/W2766766681","https://openalex.org/W2805424946","https://openalex.org/W2891834928","https://openalex.org/W2893758214","https://openalex.org/W2899572073","https://openalex.org/W2909576544","https://openalex.org/W2946695451","https://openalex.org/W2963433879","https://openalex.org/W2969446416","https://openalex.org/W3005545094","https://openalex.org/W3007841636","https://openalex.org/W3011285251","https://openalex.org/W3043610692","https://openalex.org/W3112843328","https://openalex.org/W3131243453","https://openalex.org/W3185636054","https://openalex.org/W3203753153","https://openalex.org/W3204715535","https://openalex.org/W3207413983","https://openalex.org/W3209770578","https://openalex.org/W3210737632","https://openalex.org/W3217591046","https://openalex.org/W4213172271","https://openalex.org/W4286611256","https://openalex.org/W4294838634","https://openalex.org/W4294898467","https://openalex.org/W4306772149","https://openalex.org/W4311912359","https://openalex.org/W4312358294","https://openalex.org/W4312576400","https://openalex.org/W4319300066","https://openalex.org/W4319320165","https://openalex.org/W4321488423","https://openalex.org/W4361769659","https://openalex.org/W4376101070","https://openalex.org/W4387331470","https://openalex.org/W4387576054","https://openalex.org/W4393547721","https://openalex.org/W4394625854","https://openalex.org/W4404585900"],"related_works":[],"abstract_inverted_index":{"Video-based":[0],"physiological":[1,80,123,141,173,199],"signal":[2,81,174,200],"estimation":[3,82,138,175,201],"is":[4,35,145],"crucial":[5],"for":[6,135],"non-invasive":[7],"and":[8,23,30,68,76,119,160],"contactless":[9],"patient":[10],"monitoring":[11],"in":[12,58,65,84,131,163,189,193,220],"scenarios":[13,86,90],"where":[14],"traditional":[15],"sensor-based":[16],"methods":[17],"are":[18],"impractical,":[19],"such":[20,33],"as":[21,98,127,157],"telemedicine":[22],"large-scale":[24],"population":[25],"health":[26],"studies.":[27],"The":[28,143],"development":[29,169],"efficacy":[31],"of":[32,41,55,78,95,114,139,153,170,196,209],"approaches":[34,83],"critically":[36],"influenced":[37],"by":[38],"the":[39,74,108,136,168,185,194,207],"availability":[40],"representative":[42],"human":[43,116,140],"subject":[44,117],"datasets":[45,52],"that":[46,183],"reflect":[47],"real-world":[48,85,89],"scenarios.":[49],"However,":[50],"existing":[51,197,210],"predominantly":[53],"consist":[54],"recordings":[56],"collected":[57,130],"controlled":[59,214],"laboratory":[60,101,215],"settings":[61,134],"with":[62],"limited":[63],"diversity":[64,97,155],"environmental":[66,96,154],"conditions":[67],"demographic":[69],"representation.":[70],"Such":[71],"constraints":[72],"hinder":[73],"generalizability":[75],"robustness":[77,195],"video-based":[79,198],"(due":[87],"to":[88,100,148],"demonstrating":[91],"a":[92,150,190],"challenging":[93],"distribution":[94],"compared":[99],"conditions).":[102],"To":[103],"this":[104,204],"end,":[105],"we":[106,181],"present":[107],"REmote":[109],"VITals":[110],"(REVIT)":[111],"dataset,":[112],"comprising":[113],"1553":[115],"videos":[118],"associated":[120],"ground":[121],"truth":[122],"sign":[124],"measurements":[125],"(such":[126,156],"heart":[128],"rate)":[129],"multiple":[132],"outside-the-lab":[133,164],"remote":[137],"signs.":[142],"dataset":[144,187],"uniquely":[146],"designed":[147],"capture":[149],"wide":[151],"range":[152],"variable":[158],"lighting":[159],"background)":[161],"encountered":[162],"settings,":[165],"thereby":[166],"enabling":[167],"more":[171],"robust":[172],"approaches.":[176,202],"Through":[177],"statistical":[178],"hypothesis":[179],"testing,":[180],"demonstrate":[182],"utilizing":[184],"REVIT":[186],"results":[188],"significant":[191],"improvement":[192],"Furthermore,":[203],"work":[205],"highlights":[206],"impact":[208],"data":[211],"distributions":[212],"toward":[213],"conditions,":[216],"underscoring":[217],"their":[218],"limitations":[219],"real":[221],"world":[222],"applicability.":[223]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-12-02T00:00:00"}
