{"id":"https://openalex.org/W4379653327","doi":"https://doi.org/10.1117/12.2680547","title":"A feature selection method for driver stress detection using heart rate variability and breathing rate","display_name":"A feature selection method for driver stress detection using heart rate variability and breathing rate","publication_year":2023,"publication_date":"2023-06-07","ids":{"openalex":"https://openalex.org/W4379653327","doi":"https://doi.org/10.1117/12.2680547"},"language":"en","primary_location":{"id":"doi:10.1117/12.2680547","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2680547","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Fifteenth International Conference on Machine Vision (ICMV 2022)","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/A5000506160","display_name":"Ashkan Parsi","orcid":"https://orcid.org/0000-0003-2612-0951"},"institutions":[{"id":"https://openalex.org/I33117478","display_name":"Xperi (Ireland)","ror":"https://ror.org/01kd5wn07","country_code":"IE","type":"company","lineage":["https://openalex.org/I33117478","https://openalex.org/I4210127493"]}],"countries":["IE"],"is_corresponding":true,"raw_author_name":"Ashkan Parsi","raw_affiliation_strings":["Xperi Inc. (Ireland)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xperi Inc. (Ireland)","institution_ids":["https://openalex.org/I33117478"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017667142","display_name":"David O\u2019Callaghan","orcid":"https://orcid.org/0000-0003-4350-6143"},"institutions":[{"id":"https://openalex.org/I33117478","display_name":"Xperi (Ireland)","ror":"https://ror.org/01kd5wn07","country_code":"IE","type":"company","lineage":["https://openalex.org/I33117478","https://openalex.org/I4210127493"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"David O'Callaghan","raw_affiliation_strings":["Xperi Inc. (Ireland)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xperi Inc. (Ireland)","institution_ids":["https://openalex.org/I33117478"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029996716","display_name":"Joseph Lemley","orcid":"https://orcid.org/0000-0002-0595-2313"},"institutions":[{"id":"https://openalex.org/I33117478","display_name":"Xperi (Ireland)","ror":"https://ror.org/01kd5wn07","country_code":"IE","type":"company","lineage":["https://openalex.org/I33117478","https://openalex.org/I4210127493"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Joseph Lemley","raw_affiliation_strings":["Xperi Inc. (Ireland)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xperi Inc. (Ireland)","institution_ids":["https://openalex.org/I33117478"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5000506160"],"corresponding_institution_ids":["https://openalex.org/I33117478"],"apc_list":null,"apc_paid":null,"fwci":1.4887,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.82175975,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"57","last_page":"57"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11373","display_name":"Sleep and Work-Related Fatigue","score":0.9922000169754028,"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":0.9922000169754028,"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/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.9886999726295471,"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9761000275611877,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/heart-rate-variability","display_name":"Heart rate variability","score":0.6765161752700806},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5917978882789612},{"id":"https://openalex.org/keywords/stress","display_name":"Stress (linguistics)","score":0.569359540939331},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5680306553840637},{"id":"https://openalex.org/keywords/stress-test","display_name":"Stress test","score":0.5465344190597534},{"id":"https://openalex.org/keywords/breathing","display_name":"Breathing","score":0.5386417508125305},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.5330684781074524},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5279262065887451},{"id":"https://openalex.org/keywords/heart-rate","display_name":"Heart rate","score":0.5233394503593445},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.480898380279541},{"id":"https://openalex.org/keywords/respiratory-rate","display_name":"Respiratory rate","score":0.4251856207847595},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4092060327529907},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.23720818758010864},{"id":"https://openalex.org/keywords/blood-pressure","display_name":"Blood pressure","score":0.2086029052734375},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.1472645103931427},{"id":"https://openalex.org/keywords/anesthesia","display_name":"Anesthesia","score":0.07848048210144043}],"concepts":[{"id":"https://openalex.org/C71635504","wikidata":"https://www.wikidata.org/wiki/Q933954","display_name":"Heart rate variability","level":4,"score":0.6765161752700806},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5917978882789612},{"id":"https://openalex.org/C21036866","wikidata":"https://www.wikidata.org/wiki/Q181767","display_name":"Stress (linguistics)","level":2,"score":0.569359540939331},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5680306553840637},{"id":"https://openalex.org/C2779201015","wikidata":"https://www.wikidata.org/wiki/Q1308919","display_name":"Stress test","level":2,"score":0.5465344190597534},{"id":"https://openalex.org/C39300077","wikidata":"https://www.wikidata.org/wiki/Q9530","display_name":"Breathing","level":2,"score":0.5386417508125305},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.5330684781074524},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5279262065887451},{"id":"https://openalex.org/C2777953023","wikidata":"https://www.wikidata.org/wiki/Q1073121","display_name":"Heart rate","level":3,"score":0.5233394503593445},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.480898380279541},{"id":"https://openalex.org/C8213797","wikidata":"https://www.wikidata.org/wiki/Q754250","display_name":"Respiratory rate","level":4,"score":0.4251856207847595},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4092060327529907},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.23720818758010864},{"id":"https://openalex.org/C84393581","wikidata":"https://www.wikidata.org/wiki/Q82642","display_name":"Blood pressure","level":2,"score":0.2086029052734375},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.1472645103931427},{"id":"https://openalex.org/C42219234","wikidata":"https://www.wikidata.org/wiki/Q131130","display_name":"Anesthesia","level":1,"score":0.07848048210144043},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2680547","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2680547","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Fifteenth International Conference on Machine Vision (ICMV 2022)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.8700000047683716}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2314914269","https://openalex.org/W112050585","https://openalex.org/W3082889039","https://openalex.org/W2946788172","https://openalex.org/W4285065250","https://openalex.org/W4308634130","https://openalex.org/W2921132911","https://openalex.org/W2098383409","https://openalex.org/W2042041186","https://openalex.org/W3196195804"],"abstract_inverted_index":{"Driver":[0],"stress":[1,14,40,84],"is":[2,15,51,77,97],"a":[3,16,31,52,111,127,147],"major":[4],"cause":[5],"of":[6,25,150],"car":[7],"accidents":[8],"and":[9,22,36,39,63,105,113],"death":[10],"worldwide.":[11],"Furthermore,":[12],"persistent":[13],"health":[17],"problem,":[18],"contributing":[19],"to":[20,55,79,100,109,138],"hypertension":[21],"other":[23],"diseases":[24],"the":[26,57,81,92,153],"cardiovascular":[27],"system.":[28],"Stress":[29],"has":[30,145],"measurable":[32],"impact":[33],"on":[34,91,152],"heart":[35,102],"breathing":[37,106],"rates":[38],"levels":[41],"can":[42],"be":[43],"inferred":[44],"from":[45],"such":[46],"measurements.":[47],"Galvanic":[48],"skin":[49,75],"response":[50,76],"common":[53],"test":[54],"measure":[56],"perspiration":[58],"caused":[59],"by":[60],"both":[61],"physiological":[62],"psychological":[64],"stress,":[65],"as":[66,68],"well":[67],"extreme":[69],"emotions.":[70],"In":[71],"this":[72],"paper,":[73],"galvanic":[74],"used":[78,133],"estimate":[80],"ground":[82],"truth":[83],"levels.":[85],"A":[86],"feature":[87],"selection":[88],"technique":[89],"based":[90],"minimal":[93],"redundancy-maximal":[94],"relevance":[95],"method":[96,144],"then":[98],"applied":[99],"multiple":[101],"rate":[103,107],"variability":[104],"metrics":[108],"identify":[110],"novel":[112],"optimal":[114],"combination":[115],"for":[116],"use":[117],"in":[118],"detecting":[119],"stress.":[120,141],"The":[121,142],"support":[122],"vector":[123],"machine":[124],"algorithm":[125],"with":[126,135],"radial":[128],"basis":[129],"function":[130],"kernel":[131],"was":[132],"along":[134],"these":[136],"features":[137],"reliably":[139],"predict":[140],"proposed":[143],"achieved":[146],"high":[148],"level":[149],"accuracy":[151],"target":[154],"dataset.":[155]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":2}],"updated_date":"2026-04-27T08:22:11.395708","created_date":"2025-10-10T00:00:00"}