{"id":"https://openalex.org/W1970566851","doi":"https://doi.org/10.1109/ivs.2013.6629583","title":"Detecting driver inattention by rough iconic classification","display_name":"Detecting driver inattention by rough iconic classification","publication_year":2013,"publication_date":"2013-06-01","ids":{"openalex":"https://openalex.org/W1970566851","doi":"https://doi.org/10.1109/ivs.2013.6629583","mag":"1970566851"},"language":"en","primary_location":{"id":"doi:10.1109/ivs.2013.6629583","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2013.6629583","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Intelligent Vehicles Symposium (IV)","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/A5062330915","display_name":"Giovanni Luca Masala","orcid":"https://orcid.org/0000-0001-6734-9424"},"institutions":[{"id":"https://openalex.org/I159650629","display_name":"University of Sassari","ror":"https://ror.org/01bnjbv91","country_code":"IT","type":"education","lineage":["https://openalex.org/I159650629"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"G. L. Masala","raw_affiliation_strings":["Department of Political Science, Communication, Engineering and Information Technologies, Computer Vision Laboratory, Viale Mancini, 5, 07100, Sassari, Italy","Dept. of Political Sci., Commun., Eng. & Inf. Technol., Comput. Vision Lab., Sassari, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Political Science, Communication, Engineering and Information Technologies, Computer Vision Laboratory, Viale Mancini, 5, 07100, Sassari, Italy","institution_ids":["https://openalex.org/I159650629"]},{"raw_affiliation_string":"Dept. of Political Sci., Commun., Eng. & Inf. Technol., Comput. Vision Lab., Sassari, Italy","institution_ids":["https://openalex.org/I159650629"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102980809","display_name":"Enrico Grosso","orcid":null},"institutions":[{"id":"https://openalex.org/I159650629","display_name":"University of Sassari","ror":"https://ror.org/01bnjbv91","country_code":"IT","type":"education","lineage":["https://openalex.org/I159650629"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"E. Grosso","raw_affiliation_strings":["Department of Political Science, Communication, Engineering and Information Technologies, Computer Vision Laboratory, Viale Mancini, 5, 07100, Sassari, Italy","Dept. of Political Sci., Commun., Eng. & Inf. Technol., Comput. Vision Lab., Sassari, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Political Science, Communication, Engineering and Information Technologies, Computer Vision Laboratory, Viale Mancini, 5, 07100, Sassari, Italy","institution_ids":["https://openalex.org/I159650629"]},{"raw_affiliation_string":"Dept. of Political Sci., Commun., Eng. & Inf. Technol., Comput. Vision Lab., Sassari, Italy","institution_ids":["https://openalex.org/I159650629"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I159650629"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"30","issue":null,"first_page":"913","last_page":"918"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9941999912261963,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9923999905586243,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8009846806526184},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6851818561553955},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6585333347320557},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6066384315490723},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5784079432487488},{"id":"https://openalex.org/keywords/automotive-industry","display_name":"Automotive industry","score":0.5748541951179504},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.524580180644989},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.500629186630249},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.46718838810920715},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.46654677391052246},{"id":"https://openalex.org/keywords/advanced-driver-assistance-systems","display_name":"Advanced driver assistance systems","score":0.42448490858078003},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35833024978637695},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11047539114952087}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8009846806526184},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6851818561553955},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6585333347320557},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6066384315490723},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5784079432487488},{"id":"https://openalex.org/C526921623","wikidata":"https://www.wikidata.org/wiki/Q190117","display_name":"Automotive industry","level":2,"score":0.5748541951179504},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.524580180644989},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.500629186630249},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.46718838810920715},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.46654677391052246},{"id":"https://openalex.org/C87833898","wikidata":"https://www.wikidata.org/wiki/Q1060280","display_name":"Advanced driver assistance systems","level":2,"score":0.42448490858078003},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35833024978637695},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11047539114952087},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/ivs.2013.6629583","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2013.6629583","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.uniss.it:7864","is_oa":false,"landing_page_url":"http://eprints.uniss.it/7864/1/Masala_G_Detecting_driver_inattention_by.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306401147","display_name":"UnissResearch (Universit\u00e0 degli Studi di Sassari)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I159650629","host_organization_name":"University of Sassari","host_organization_lineage":["https://openalex.org/I159650629"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Technical Report"},{"id":"pmh:oai:iris.unica.it:11584/109419","is_oa":false,"landing_page_url":"http://hdl.handle.net/11584/109419","pdf_url":null,"source":{"id":"https://openalex.org/S4377196293","display_name":"UNICA IRIS Institutional Research Information System (University of Cagliari)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172446870","host_organization_name":"University of Cagliari","host_organization_lineage":["https://openalex.org/I172446870"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1500404728","https://openalex.org/W1505840745","https://openalex.org/W1551949510","https://openalex.org/W1679913846","https://openalex.org/W1986622859","https://openalex.org/W1989702938","https://openalex.org/W2018102962","https://openalex.org/W2033419168","https://openalex.org/W2088048205","https://openalex.org/W2106580100","https://openalex.org/W2131329059","https://openalex.org/W2132985428","https://openalex.org/W2138451337","https://openalex.org/W2152195021","https://openalex.org/W2159686933","https://openalex.org/W2199441453","https://openalex.org/W2217896605","https://openalex.org/W2402846924","https://openalex.org/W2609092322","https://openalex.org/W2799061466","https://openalex.org/W3097096317","https://openalex.org/W3214102110","https://openalex.org/W4230946174","https://openalex.org/W6630153874","https://openalex.org/W6687958089","https://openalex.org/W6737040030"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W4312814274","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2985118265"],"abstract_inverted_index":{"The":[0,24,101],"paper":[1],"proposes":[2],"an":[3,20,70],"original":[4],"method,":[5],"derived":[6],"from":[7],"basic":[8],"face":[9],"recognition":[10],"and":[11,38,64,80,94],"classification":[12,42],"research,":[13],"which":[14,108],"is":[15,55],"a":[16,28,39,104],"good":[17],"candidate":[18],"for":[19,113,124],"effective":[21],"automotive":[22],"application.":[23],"proposed":[25],"approach":[26],"exploits":[27],"single":[29],"b/w":[30],"camera,":[31],"positioned":[32],"in":[33],"front":[34],"of":[35,52,58,85,127],"the":[36,53,56,74,86,128],"driver,":[37],"very":[40],"efficient":[41],"strategy,":[43],"based":[44],"on":[45],"neural":[46],"network":[47],"classifiers.":[48],"A":[49],"peculiar":[50],"feature":[51],"work":[54],"adoption":[57],"iconic":[59],"data":[60],"reduction,":[61],"avoiding":[62],"specific":[63],"time-consuming":[65],"feature-based":[66],"approaches.":[67],"Though":[68],"at":[69],"initial":[71],"development":[72],"stage,":[73],"method":[75,102],"proved":[76],"to":[77,83,99],"be":[78,110,119],"fast":[79],"robust":[81],"compared":[82],"state":[84],"art":[87],"techniques;":[88],"experimental":[89],"results":[90],"show":[91],"real-time":[92],"response":[93],"mean":[95],"weighted":[96],"accuracy":[97],"near":[98],"93%.":[100],"requires":[103],"simple":[105],"training":[106],"procedure":[107],"can":[109,118],"certainly":[111],"improved":[112],"real":[114],"applications;":[115],"moreover":[116],"it":[117],"easily":[120],"integrated":[121],"with":[122],"techniques":[123],"automatic":[125],"face-recognition":[126],"driver.":[129]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
