{"id":"https://openalex.org/W2170279144","doi":"https://doi.org/10.1109/icpr.2008.4761904","title":"Recognition of multiple drivers&amp;#x2019; emotional state","display_name":"Recognition of multiple drivers&amp;#x2019; emotional state","publication_year":2008,"publication_date":"2008-12-01","ids":{"openalex":"https://openalex.org/W2170279144","doi":"https://doi.org/10.1109/icpr.2008.4761904","mag":"2170279144"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2008.4761904","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2008.4761904","pdf_url":null,"source":{"id":"https://openalex.org/S4393916651","display_name":"Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition","issn_l":"1041-3278","issn":["1041-3278","1051-4651"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 19th International Conference on Pattern Recognition","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100746487","display_name":"Jinjun Wang","orcid":"https://orcid.org/0000-0002-9434-0617"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jinjun Wang","raw_affiliation_strings":["NEC Laboratories, America, Inc., Cupertino, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NEC Laboratories, America, Inc., Cupertino, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100687952","display_name":"Yihong Gong","orcid":"https://orcid.org/0000-0002-1793-5836"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yihong Gong","raw_affiliation_strings":["NEC Laboratories, America, Inc., Cupertino, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NEC Laboratories, America, Inc., Cupertino, USA","institution_ids":[]}]}],"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":32,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9970999956130981,"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"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9970999956130981,"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"}},{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9958000183105469,"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":0.9958000183105469,"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/decorrelation","display_name":"Decorrelation","score":0.8649515509605408},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7166173458099365},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5925936102867126},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5514220595359802},{"id":"https://openalex.org/keywords/variation","display_name":"Variation (astronomy)","score":0.5286415219306946},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4960220754146576},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49116918444633484},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46550729870796204},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4321637749671936},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.13253319263458252}],"concepts":[{"id":"https://openalex.org/C177860922","wikidata":"https://www.wikidata.org/wiki/Q788608","display_name":"Decorrelation","level":2,"score":0.8649515509605408},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7166173458099365},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5925936102867126},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5514220595359802},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.5286415219306946},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4960220754146576},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49116918444633484},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46550729870796204},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4321637749671936},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.13253319263458252},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C44870925","wikidata":"https://www.wikidata.org/wiki/Q37547","display_name":"Astrophysics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2008.4761904","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2008.4761904","pdf_url":null,"source":{"id":"https://openalex.org/S4393916651","display_name":"Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition","issn_l":"1041-3278","issn":["1041-3278","1051-4651"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 19th International Conference on Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1505840745","https://openalex.org/W2052770734","https://openalex.org/W2078671978","https://openalex.org/W2120945046","https://openalex.org/W2142567154","https://openalex.org/W2153771043","https://openalex.org/W2158419735","https://openalex.org/W2171801645","https://openalex.org/W6630398147","https://openalex.org/W7075385858"],"related_works":["https://openalex.org/W1604939135","https://openalex.org/W2127058578","https://openalex.org/W2735368845","https://openalex.org/W2089764958","https://openalex.org/W2546477360","https://openalex.org/W2359691516","https://openalex.org/W2098040275","https://openalex.org/W2261979314","https://openalex.org/W3109905219","https://openalex.org/W1990069287"],"abstract_inverted_index":{"The":[0,13],"paper":[1],"attempted":[2],"the":[3,17,22,28,47,68,85,90,97],"recognition":[4,91],"of":[5,16,30,71],"multiple":[6],"driverspsila":[7],"emotional":[8,32,105],"state":[9,33,106],"from":[10],"physiological":[11],"signals.":[12],"major":[14],"challenge":[15],"research":[18],"is":[19,39],"due":[20],"to":[21,50,61,66,88],"severe":[23],"inter-driver":[24],"variation":[25],"such":[26],"that":[27,41,96],"features":[29,48],"different":[31],"are":[34],"high":[35],"correlated,":[36],"and":[37,74],"it":[38],"found":[40],"simple":[42],"decorrelation":[43],"method":[44,99],"cannot":[45],"normalize":[46],"well":[49],"achieve":[51],"acceptable":[52],"classification":[53],"accuracy.":[54,92],"Hence,":[55],"in":[56],"this":[57],"paper,":[58],"we":[59,80],"propose":[60],"apply":[62],"a":[63],"latent":[64],"variable":[65],"represent":[67],"hidden":[69],"attribute":[70],"individual":[72],"driver":[73],"use":[75],"statistical":[76],"training.":[77],"In":[78],"addition,":[79],"applied":[81],"temporal":[82],"constraints":[83],"for":[84,104],"inference":[86],"process":[87],"improve":[89],"Experimental":[93],"results":[94],"show":[95],"proposed":[98],"outperform":[100],"existing":[101],"algorithms":[102],"used":[103],"recognition.":[107]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
