{"id":"https://openalex.org/W7141710015","doi":"https://doi.org/10.1109/icce67443.2026.11449780","title":"Non-Invasive Stress-Related Hormone Estimation from Vital Signals in Driving Environments","display_name":"Non-Invasive Stress-Related Hormone Estimation from Vital Signals in Driving Environments","publication_year":2026,"publication_date":"2026-02-03","ids":{"openalex":"https://openalex.org/W7141710015","doi":"https://doi.org/10.1109/icce67443.2026.11449780"},"language":null,"primary_location":{"id":"doi:10.1109/icce67443.2026.11449780","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce67443.2026.11449780","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE International Conference on Consumer Electronics (ICCE)","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/A5104314116","display_name":"Nobuhito Taniguchi","orcid":null},"institutions":[{"id":"https://openalex.org/I65837984","display_name":"Kobe University","ror":"https://ror.org/03tgsfw79","country_code":"JP","type":"education","lineage":["https://openalex.org/I65837984"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Nobuhito Taniguchi","raw_affiliation_strings":["Kobe University,Graduate School of Science, Technology and Innovation,Kobe,Japan"],"affiliations":[{"raw_affiliation_string":"Kobe University,Graduate School of Science, Technology and Innovation,Kobe,Japan","institution_ids":["https://openalex.org/I65837984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130781004","display_name":"Yuto Noda","orcid":null},"institutions":[{"id":"https://openalex.org/I65837984","display_name":"Kobe University","ror":"https://ror.org/03tgsfw79","country_code":"JP","type":"education","lineage":["https://openalex.org/I65837984"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuto Noda","raw_affiliation_strings":["Kobe University,Graduate School of Science, Technology and Innovation,Kobe,Japan"],"affiliations":[{"raw_affiliation_string":"Kobe University,Graduate School of Science, Technology and Innovation,Kobe,Japan","institution_ids":["https://openalex.org/I65837984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130734219","display_name":"Hiroshi Kawaguchi","orcid":null},"institutions":[{"id":"https://openalex.org/I65837984","display_name":"Kobe University","ror":"https://ror.org/03tgsfw79","country_code":"JP","type":"education","lineage":["https://openalex.org/I65837984"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroshi Kawaguchi","raw_affiliation_strings":["Kobe University,Graduate School of Science, Technology and Innovation,Kobe,Japan"],"affiliations":[{"raw_affiliation_string":"Kobe University,Graduate School of Science, Technology and Innovation,Kobe,Japan","institution_ids":["https://openalex.org/I65837984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065888035","display_name":"Toshihide Shiino","orcid":null},"institutions":[{"id":"https://openalex.org/I1283473643","display_name":"Honda (Japan)","ror":"https://ror.org/03jzay846","country_code":"JP","type":"company","lineage":["https://openalex.org/I1283473643"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Toshihide Shiino","raw_affiliation_strings":["Honda R&#x0026;D Co.,Ltd.,Material Research Center,Wako,Japan"],"affiliations":[{"raw_affiliation_string":"Honda R&#x0026;D Co.,Ltd.,Material Research Center,Wako,Japan","institution_ids":["https://openalex.org/I1283473643"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012867421","display_name":"Masaaki Nishi","orcid":"https://orcid.org/0000-0003-3845-457X"},"institutions":[{"id":"https://openalex.org/I1283473643","display_name":"Honda (Japan)","ror":"https://ror.org/03jzay846","country_code":"JP","type":"company","lineage":["https://openalex.org/I1283473643"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masaaki Nishi","raw_affiliation_strings":["Honda R&#x0026;D Co.,Ltd.,Material Research Center,Wako,Japan"],"affiliations":[{"raw_affiliation_string":"Honda R&#x0026;D Co.,Ltd.,Material Research Center,Wako,Japan","institution_ids":["https://openalex.org/I1283473643"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078377315","display_name":"Shintaro Izumi","orcid":"https://orcid.org/0000-0002-8336-2220"},"institutions":[{"id":"https://openalex.org/I65837984","display_name":"Kobe University","ror":"https://ror.org/03tgsfw79","country_code":"JP","type":"education","lineage":["https://openalex.org/I65837984"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shintaro Izumi","raw_affiliation_strings":["Kobe University,Graduate School of Science, Technology and Innovation,Kobe,Japan"],"affiliations":[{"raw_affiliation_string":"Kobe University,Graduate School of Science, Technology and Innovation,Kobe,Japan","institution_ids":["https://openalex.org/I65837984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5104314116"],"corresponding_institution_ids":["https://openalex.org/I65837984"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.90153099,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11373","display_name":"Sleep and Work-Related Fatigue","score":0.2678999900817871,"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"}},"topics":[{"id":"https://openalex.org/T11373","display_name":"Sleep and Work-Related Fatigue","score":0.2678999900817871,"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/T10529","display_name":"Stress Responses and Cortisol","score":0.09640000015497208,"subfield":{"id":"https://openalex.org/subfields/2802","display_name":"Behavioral Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.09009999781847,"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/estimation","display_name":"Estimation","score":0.3562000095844269},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.3091999888420105},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.2572999894618988},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.23420000076293945},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.2304999977350235}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5285000205039978},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.3562000095844269},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33489999175071716},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.3091999888420105},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.25929999351501465},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.2572999894618988},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.23420000076293945},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.2304999977350235},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.23010000586509705},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.22910000383853912}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce67443.2026.11449780","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce67443.2026.11449780","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE International Conference on Consumer Electronics (ICCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.43344148993492126}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W560853235","https://openalex.org/W1989439371","https://openalex.org/W2006630143","https://openalex.org/W2060151092","https://openalex.org/W2095395905","https://openalex.org/W2397265992","https://openalex.org/W2800064124","https://openalex.org/W3089382942","https://openalex.org/W3187233370","https://openalex.org/W4289866223","https://openalex.org/W4409408087","https://openalex.org/W4412935008"],"related_works":[],"abstract_inverted_index":{"Monitoring":[0],"the":[1,21,24,86,90,97,101,104,116,221],"stress":[2,28,59,79,108,226],"levels":[3,153],"of":[4,23,36,78,89,100,107,223],"drivers":[5],"and":[6,46,61,75,124,157,203,239],"passengers":[7],"during":[8],"driving":[9,111,131],"is":[10,51],"crucial":[11],"not":[12,83],"only":[13,84],"for":[14,19,63,192,207],"accident":[15],"prevention":[16],"but":[17,94],"also":[18,95],"enhancing":[20],"enjoyment":[22],"mobility":[25],"experience.":[26],"Conventional":[27],"detection":[29],"has":[30],"primarily":[31],"relied":[32],"on":[33,85,96],"external":[34],"indicators":[35],"autonomic":[37,91,238],"nervous":[38,92],"system":[39,93,241],"activity,":[40],"such":[41],"as":[42],"heart":[43,161],"rate":[44,162],"variability":[45,163],"perspiration.":[47],"However,":[48],"this":[49,67],"approach":[50,235],"limited":[52],"in":[53,228],"its":[54],"ability":[55],"to":[56,71,128,136,149,171,182],"distinguish":[57],"among":[58],"types":[60],"account":[62],"individual":[64],"differences.":[65],"In":[66],"study,":[68],"we":[69],"aim":[70],"enable":[72],"more":[73],"sustained":[74],"personalized":[76],"estimation":[77,227],"states":[80],"by":[81],"focusing":[82],"immediate":[87],"responses":[88],"biochemical":[98],"reactions":[99],"endocrine":[102,240],"system\u2014particularly":[103],"secretion":[105],"dynamics":[106],"hormones.":[109],"Stress-inducing":[110],"experiments":[112],"were":[113,144],"conducted":[114],"at":[115],"Honda":[117],"Proving":[118],"Ground":[119],"(Tochigi),":[120],"utilizing":[121],"high-speed":[122],"oval":[123],"winding":[125],"test":[126],"tracks":[127],"reproduce":[129],"diverse":[130],"conditions,":[132,141],"including":[133],"speeds":[134],"up":[135],"180":[137],"km/h.":[138],"Under":[139],"these":[140],"saliva":[142],"samples":[143],"collected":[145],"from":[146],"eight":[147],"participants":[148],"measure":[150],"endocrine-related":[151],"hormone":[152],"(\u03b1-amylase,":[154],"chromogranin":[155,208],"A,":[156],"cortisol),":[158],"along":[159],"with":[160,177],"(HRV)":[164],"indices":[165],"(SD1,":[166],"SD2,":[167],"SD2/SD1":[168],"ratio,":[169],"normalized":[170],"baseline).":[172],"A":[173,209],"multiple":[174],"regression":[175],"model":[176],"leave-one-out":[178],"cross-validation":[179],"was":[180],"applied":[181],"16":[183],"task":[184],"samples.":[185],"The":[186],"results":[187],"showed":[188],"moderate":[189],"predictive":[190],"accuracy":[191],"salivary":[193],"amylase":[194],"(R<sup":[195,210],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[196,211],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[197,212],"=":[198,201,213,216],"0.333,":[199],"r":[200,215],"0.654)":[202],"a":[204,233],"strong":[205],"association":[206],"0.820,":[214],"0.909).":[217],"These":[218],"findings":[219],"demonstrate":[220],"feasibility":[222],"real-time,":[224],"non-invasive":[225],"intelligent":[229],"vehicle":[230],"systems":[231],"through":[232],"dual":[234],"that":[236],"integrates":[237],"indicators.":[242]},"counts_by_year":[],"updated_date":"2026-03-29T06:01:01.467347","created_date":"2026-03-28T00:00:00"}
