{"id":"https://openalex.org/W7125083046","doi":"https://doi.org/10.1109/bsn66969.2025.11337804","title":"Analysis of Driver Behavior in Various Events Using Electrodermal Activity Signal","display_name":"Analysis of Driver Behavior in Various Events Using Electrodermal Activity Signal","publication_year":2025,"publication_date":"2025-11-03","ids":{"openalex":"https://openalex.org/W7125083046","doi":"https://doi.org/10.1109/bsn66969.2025.11337804"},"language":null,"primary_location":{"id":"doi:10.1109/bsn66969.2025.11337804","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bsn66969.2025.11337804","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 21st International Conference on Body Sensor Networks (BSN)","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/A5017507506","display_name":"Yedukondala Rao Veeranki","orcid":"https://orcid.org/0000-0002-7904-7543"},"institutions":[{"id":"https://openalex.org/I11880225","display_name":"National Institute of Technology Karnataka","ror":"https://ror.org/01hz4v948","country_code":"IN","type":"education","lineage":["https://openalex.org/I11880225"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Yedukondala Rao Veeranki","raw_affiliation_strings":["National Institute of Technology Puducherry,Department of Electronics & Communication Engineering,Karaikal,PY,India,609 609"],"affiliations":[{"raw_affiliation_string":"National Institute of Technology Puducherry,Department of Electronics & Communication Engineering,Karaikal,PY,India,609 609","institution_ids":["https://openalex.org/I11880225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123443581","display_name":"Toleti Sai Shanmukh Kailash","orcid":null},"institutions":[{"id":"https://openalex.org/I11880225","display_name":"National Institute of Technology Karnataka","ror":"https://ror.org/01hz4v948","country_code":"IN","type":"education","lineage":["https://openalex.org/I11880225"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Toleti Sai Shanmukh Kailash","raw_affiliation_strings":["National Institute of Technology Puducherry,Department of Electronics & Communication Engineering,Karaikal,PY,India,609 609"],"affiliations":[{"raw_affiliation_string":"National Institute of Technology Puducherry,Department of Electronics & Communication Engineering,Karaikal,PY,India,609 609","institution_ids":["https://openalex.org/I11880225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062261441","display_name":"Lu\u00eds Roberto Mercado D\u00edaz","orcid":"https://orcid.org/0000-0003-3543-3677"},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Luis Roberto Mercado Diaz","raw_affiliation_strings":["University of Connecticut,Department of Biomedical Engineering,Storrs,CT,USA,06269"],"affiliations":[{"raw_affiliation_string":"University of Connecticut,Department of Biomedical Engineering,Storrs,CT,USA,06269","institution_ids":["https://openalex.org/I140172145"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012375687","display_name":"Hugo F. Posada\u2013Quintero","orcid":"https://orcid.org/0000-0003-4514-4772"},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hugo F. Posada-Quintero","raw_affiliation_strings":["University of Connecticut,Department of Biomedical Engineering,Storrs,CT,USA,06269"],"affiliations":[{"raw_affiliation_string":"University of Connecticut,Department of Biomedical Engineering,Storrs,CT,USA,06269","institution_ids":["https://openalex.org/I140172145"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5017507506"],"corresponding_institution_ids":["https://openalex.org/I11880225"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.77758989,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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/T10667","display_name":"Emotion and Mood Recognition","score":0.4156000018119812,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.4156000018119812,"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/T11373","display_name":"Sleep and Work-Related Fatigue","score":0.13330000638961792,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.11249999701976776,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5379999876022339},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5252000093460083},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.5011000037193298},{"id":"https://openalex.org/keywords/crash","display_name":"Crash","score":0.4343999922275543},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.4341999888420105},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4334000051021576},{"id":"https://openalex.org/keywords/advanced-driver-assistance-systems","display_name":"Advanced driver assistance systems","score":0.4287000000476837},{"id":"https://openalex.org/keywords/causation","display_name":"Causation","score":0.40059998631477356}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5957000255584717},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5379999876022339},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5252000093460083},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.5011000037193298},{"id":"https://openalex.org/C183469790","wikidata":"https://www.wikidata.org/wiki/Q333501","display_name":"Crash","level":2,"score":0.4343999922275543},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.4341999888420105},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4334000051021576},{"id":"https://openalex.org/C87833898","wikidata":"https://www.wikidata.org/wiki/Q1060280","display_name":"Advanced driver assistance systems","level":2,"score":0.4287000000476837},{"id":"https://openalex.org/C166151441","wikidata":"https://www.wikidata.org/wiki/Q4923601","display_name":"Causation","level":2,"score":0.40059998631477356},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3917999863624573},{"id":"https://openalex.org/C3017944768","wikidata":"https://www.wikidata.org/wiki/Q1450463","display_name":"Poison control","level":2,"score":0.38690000772476196},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3824000060558319},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.35269999504089355},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.3386000096797943},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.3327000141143799},{"id":"https://openalex.org/C2989506057","wikidata":"https://www.wikidata.org/wiki/Q9687","display_name":"Traffic accident","level":2,"score":0.302700012922287},{"id":"https://openalex.org/C2778950892","wikidata":"https://www.wikidata.org/wiki/Q4692276","display_name":"Aggressive driving","level":4,"score":0.29589998722076416},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.2946999967098236},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2897000014781952},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.2808000147342682},{"id":"https://openalex.org/C2780689630","wikidata":"https://www.wikidata.org/wiki/Q2081815","display_name":"Driving simulator","level":2,"score":0.26190000772476196}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bsn66969.2025.11337804","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bsn66969.2025.11337804","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 21st International Conference on Body Sensor Networks (BSN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.6851616501808167,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1239497932","https://openalex.org/W2005859254","https://openalex.org/W2586008137","https://openalex.org/W2789522054","https://openalex.org/W2891394872","https://openalex.org/W2901857397","https://openalex.org/W2965462949","https://openalex.org/W2968963421","https://openalex.org/W3118831461","https://openalex.org/W3203349898","https://openalex.org/W4388878643","https://openalex.org/W4391128446","https://openalex.org/W4394734808","https://openalex.org/W4396796587"],"related_works":[],"abstract_inverted_index":{"Inappropriate":[0],"driver":[1,52,123,166],"behavior":[2,117,167],"is":[3,61,105],"a":[4,48,62],"leading":[5],"cause":[6],"of":[7,13,40,51,64,87,102],"traffic":[8,35,94],"accidents,":[9,43],"contributing":[10],"to":[11,16,106,114,121,134,152],"94%":[12],"crashes,":[14],"according":[15],"the":[17,38,45,84,108,145,154],"National":[18],"Motor":[19],"Vehicle":[20],"Crash":[21],"Causation":[22],"Survey.":[23],"Factors":[24],"such":[25],"as":[26],"individual":[27],"driving":[28,58,76,116,136,181],"styles,":[29],"risk-taking":[30],"tendencies,":[31],"and":[32,42,66,96,118,176],"noncompliance":[33],"with":[34,75,169],"regulations":[36],"increase":[37],"likelihood":[39],"conflicts":[41],"emphasizing":[44],"need":[46],"for":[47,165],"deeper":[49],"understanding":[50],"behavior.":[53,137],"Despite":[54],"existing":[55],"studies":[56],"on":[57],"behavior,":[59],"there":[60],"lack":[63],"precise":[65],"comprehensive":[67],"classification":[68,168],"methods":[69],"that":[70,112],"effectively":[71],"correlate":[72],"physiological":[73],"signals":[74],"actions.":[77],"Current":[78],"models":[79],"do":[80],"not":[81],"fully":[82],"capture":[83],"cognitive":[85],"aspects":[86],"driving,":[88],"limiting":[89],"their":[90],"applicability":[91],"in":[92,178],"enhancing":[93],"safety":[95],"accident":[97],"prevention.":[98],"The":[99],"primary":[100],"goal":[101],"this":[103],"study":[104],"identify":[107,153],"most":[109,156],"relevant":[110],"features":[111,133,161],"contribute":[113],"analyzing":[115],"utilize":[119],"them":[120],"classify":[122],"actions":[124],"accurately.":[125],"We":[126],"conducted":[127],"feature":[128,140],"extraction":[129],"using":[130,144],"52":[131],"distinct":[132],"analyze":[135],"Following":[138],"this,":[139],"selection":[141],"was":[142],"performed":[143],"Random":[146],"Forest":[147],"Recursive":[148],"Feature":[149],"Elimination":[150],"method":[151],"10":[155],"significant":[157],"features.":[158],"These":[159],"important":[160],"were":[162],"then":[163],"used":[164],"machine":[170],"learning":[171],"models,":[172],"ensuring":[173],"improved":[174],"accuracy":[175],"efficiency":[177],"identifying":[179],"different":[180],"patterns.":[182]},"counts_by_year":[],"updated_date":"2026-01-21T23:35:09.540996","created_date":"2026-01-21T00:00:00"}