{"id":"https://openalex.org/W7165666976","doi":"https://doi.org/10.48550/arxiv.2606.21115","title":"MS-rPPG: Multi-spectral State Space Model for Remote Photoplethysmography in Driver Monitoring Systems","display_name":"MS-rPPG: Multi-spectral State Space Model for Remote Photoplethysmography in Driver Monitoring Systems","publication_year":2026,"publication_date":"2026-06-19","ids":{"openalex":"https://openalex.org/W7165666976","doi":"https://doi.org/10.48550/arxiv.2606.21115"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.21115","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.21115","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.21115","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5113468057","display_name":"J H Choi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Choi, Jiho","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5139173279","display_name":"Sang Jun Lee","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lee, Sang Jun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"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":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9715999960899353,"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":0.9715999960899353,"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":0.006000000052154064,"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/T11373","display_name":"Sleep and Work-Related Fatigue","score":0.00559999980032444,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/photoplethysmogram","display_name":"Photoplethysmogram","score":0.8528000116348267},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6722999811172485},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.47440001368522644},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.2888999879360199},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.28610000014305115}],"concepts":[{"id":"https://openalex.org/C116390426","wikidata":"https://www.wikidata.org/wiki/Q7187885","display_name":"Photoplethysmogram","level":3,"score":0.8528000116348267},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7067999839782715},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6722999811172485},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5257999897003174},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.47440001368522644},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4648999869823456},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.42329999804496765},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2888999879360199},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.28610000014305115},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.2840999960899353},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.2533000111579895}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.21115","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.21115","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.21115","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.21115","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.5130353569984436,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Remote":[0],"photoplethysmography":[1],"(rPPG)":[2],"is":[3,25],"a":[4,35,67,97,111,133],"camera-based":[5],"technique":[6],"for":[7,27,181],"measuring":[8],"physiological":[9],"signals,":[10,18],"particularly":[11],"cardiac":[12],"activity.":[13],"From":[14],"the":[15,88,146,154],"remotely":[16],"measured":[17],"heart":[19,43,171],"rate":[20,44,172],"can":[21],"be":[22],"estimated,":[23],"which":[24,138],"crucial":[26],"health":[28,37,183],"monitoring.":[29,184],"In":[30],"this":[31],"study,":[32],"we":[33,95,108],"investigate":[34],"driver":[36,182],"monitoring":[38],"system":[39],"based":[40,103],"on":[41,104,153],"remote":[42],"estimation.":[45],"However,":[46],"driving":[47,84,145],"environments":[48],"represent":[49],"uncontrolled":[50],"settings":[51],"where":[52],"videos":[53],"are":[54,187],"subject":[55],"to":[56,78,117],"varying":[57],"illumination":[58],"conditions":[59],"and":[60,158,170],"frequent":[61],"head":[62],"movements.":[63],"We":[64,131],"introduce":[65,109],"MS-rPPG,":[66],"multi-spectral":[68,129],"framework":[69],"that":[70,165],"combines":[71],"RGB":[72],"with":[73],"near-infrared":[74],"(NIR)":[75],"face":[76],"video":[77],"alleviate":[79],"rPPG":[80],"estimation":[81,173],"under":[82],"challenging":[83],"conditions.":[85],"To":[86],"combine":[87],"complementary":[89],"features":[90],"from":[91,141],"two":[92],"spectral":[93],"videos,":[94],"propose":[96],"cross-spectral":[98],"linear":[99],"modulation":[100],"(CSLM)":[101],"strategy":[102],"frequency-domain":[105],"analysis.":[106],"Moreover,":[107],"MS-Mamba,":[110],"novel":[112],"state":[113],"space":[114],"model":[115,119],"designed":[116],"effectively":[118],"long-range":[120],"temporal":[121],"dependencies":[122],"while":[123,144],"jointly":[124],"capturing":[125],"cross-channel":[126],"interactions":[127],"between":[128],"features.":[130],"collected":[132],"real-world":[134],"dataset":[135,157],"called":[136],"MS-Drive,":[137],"was":[139,151],"recorded":[140],"50":[142],"participants":[143],"vehicle.":[147],"The":[148,161,185],"proposed":[149],"method":[150],"evaluated":[152],"MR-NIRP":[155],"Car":[156],"MS-Drive":[159],"datasets.":[160],"experimental":[162],"results":[163],"indicate":[164],"MS-rPPG":[166],"shows":[167],"better":[168],"robustness":[169],"accuracy":[174],"than":[175],"previous":[176],"methods,":[177],"highlighting":[178],"its":[179],"promise":[180],"codes":[186],"available":[188],"at":[189],"github.com/ziiho08/MS-rPPG.":[190]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-24T00:00:00"}
