{"id":"https://openalex.org/W4291908523","doi":"https://doi.org/10.1109/icccs55155.2022.9846062","title":"A Driver Distraction Detection Method Based on Convolutional Neural Network","display_name":"A Driver Distraction Detection Method Based on Convolutional Neural Network","publication_year":2022,"publication_date":"2022-04-22","ids":{"openalex":"https://openalex.org/W4291908523","doi":"https://doi.org/10.1109/icccs55155.2022.9846062"},"language":"en","primary_location":{"id":"doi:10.1109/icccs55155.2022.9846062","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccs55155.2022.9846062","pdf_url":null,"source":{"id":"https://openalex.org/S4363608130","display_name":"2022 7th International Conference on Computer and Communication Systems (ICCCS)","issn_l":null,"issn":null,"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":"2022 7th International Conference on Computer and Communication Systems (ICCCS)","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/A5001964801","display_name":"Chuheng Wei","orcid":"https://orcid.org/0000-0002-0747-9398"},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Chuheng Wei","raw_affiliation_strings":["The University of Warwick,Warwick Manufacturing Group,Coventry,UK","Warwick Manufacturing Group, The University of Warwick, Coventry, UK"],"affiliations":[{"raw_affiliation_string":"The University of Warwick,Warwick Manufacturing Group,Coventry,UK","institution_ids":["https://openalex.org/I39555362"]},{"raw_affiliation_string":"Warwick Manufacturing Group, The University of Warwick, Coventry, UK","institution_ids":["https://openalex.org/I39555362"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023833011","display_name":"Chuanshi Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuanshi Liu","raw_affiliation_strings":["Jilin University,School of Mechanical and Aerospace Engineering,Changchun,China","School of Mechanical and Aerospace Engineering, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"Jilin University,School of Mechanical and Aerospace Engineering,Changchun,China","institution_ids":["https://openalex.org/I194450716"]},{"raw_affiliation_string":"School of Mechanical and Aerospace Engineering, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019877074","display_name":"Shaocui Chi","orcid":null},"institutions":[{"id":"https://openalex.org/I75689368","display_name":"Communication University of China","ror":"https://ror.org/04facbs33","country_code":"CN","type":"education","lineage":["https://openalex.org/I75689368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaocui Chi","raw_affiliation_strings":["Communication University of China,School of Information and Communication Engineering,Beijing,China","School of Information and Communication Engineering, Communication University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Communication University of China,School of Information and Communication Engineering,Beijing,China","institution_ids":["https://openalex.org/I75689368"]},{"raw_affiliation_string":"School of Information and Communication Engineering, Communication University of China, Beijing, China","institution_ids":["https://openalex.org/I75689368"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5001964801"],"corresponding_institution_ids":["https://openalex.org/I39555362"],"apc_list":null,"apc_paid":null,"fwci":1.6049,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.83978873,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"5","issue":null,"first_page":"272","last_page":"277"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9868000149726868,"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":0.9868000149726868,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9850000143051147,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11373","display_name":"Sleep and Work-Related Fatigue","score":0.9757999777793884,"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/distraction","display_name":"Distraction","score":0.8775598406791687},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8381736278533936},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7693328261375427},{"id":"https://openalex.org/keywords/distracted-driving","display_name":"Distracted driving","score":0.6641103029251099},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6125763058662415},{"id":"https://openalex.org/keywords/automotive-industry","display_name":"Automotive industry","score":0.6121805906295776},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.5583088994026184},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5445608496665955},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5237690806388855},{"id":"https://openalex.org/keywords/residual-neural-network","display_name":"Residual neural network","score":0.5010902881622314},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36866337060928345},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1743374764919281},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.06563559174537659}],"concepts":[{"id":"https://openalex.org/C2776378700","wikidata":"https://www.wikidata.org/wiki/Q3030775","display_name":"Distraction","level":2,"score":0.8775598406791687},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8381736278533936},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7693328261375427},{"id":"https://openalex.org/C2776465824","wikidata":"https://www.wikidata.org/wiki/Q5283083","display_name":"Distracted driving","level":3,"score":0.6641103029251099},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6125763058662415},{"id":"https://openalex.org/C526921623","wikidata":"https://www.wikidata.org/wiki/Q190117","display_name":"Automotive industry","level":2,"score":0.6121805906295776},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.5583088994026184},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5445608496665955},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5237690806388855},{"id":"https://openalex.org/C2944601119","wikidata":"https://www.wikidata.org/wiki/Q43744058","display_name":"Residual neural network","level":3,"score":0.5010902881622314},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36866337060928345},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1743374764919281},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.06563559174537659},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","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/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icccs55155.2022.9846062","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccs55155.2022.9846062","pdf_url":null,"source":{"id":"https://openalex.org/S4363608130","display_name":"2022 7th International Conference on Computer and Communication Systems (ICCCS)","issn_l":null,"issn":null,"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":"2022 7th International Conference on Computer and Communication Systems (ICCCS)","raw_type":"proceedings-article"},{"id":"pmh:oai:wrap.warwick.ac.uk:168654","is_oa":false,"landing_page_url":"https://wrap.warwick.ac.uk/168654/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400665","display_name":"Warwick Research Archive Portal (University of Warwick)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I39555362","host_organization_name":"University of Warwick","host_organization_lineage":["https://openalex.org/I39555362"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Item"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W361190652","https://openalex.org/W601322659","https://openalex.org/W1992642887","https://openalex.org/W2068763596","https://openalex.org/W2109263102","https://openalex.org/W2111587852","https://openalex.org/W2123519428","https://openalex.org/W2194775991","https://openalex.org/W2201509807","https://openalex.org/W2425456574","https://openalex.org/W2540183746","https://openalex.org/W2558580397","https://openalex.org/W2575061595","https://openalex.org/W2784272016","https://openalex.org/W2912346386","https://openalex.org/W3000159186","https://openalex.org/W3013263853","https://openalex.org/W3022086662","https://openalex.org/W3083514458","https://openalex.org/W3165495218","https://openalex.org/W3195948678","https://openalex.org/W3203082035","https://openalex.org/W4255786857","https://openalex.org/W4298947612","https://openalex.org/W4301797562","https://openalex.org/W6612219061","https://openalex.org/W6740710302","https://openalex.org/W6795817822"],"related_works":["https://openalex.org/W626594146","https://openalex.org/W2051187670","https://openalex.org/W2946368029","https://openalex.org/W2891960815","https://openalex.org/W2169604921","https://openalex.org/W3134108314","https://openalex.org/W3014797439","https://openalex.org/W4394006065","https://openalex.org/W4205975769","https://openalex.org/W2891012803"],"abstract_inverted_index":{"The":[0,22,70],"growth":[1],"of":[2,11,19,29,48,72,80,93,104,124,132],"the":[3,9,17,34,46,78,91,102],"economy":[4],"and":[5,32,56,99,101],"technology":[6],"is":[7,25,39,75,97,110,115,121,129],"increasing":[8],"popularity":[10],"automotive,":[12],"but":[13],"it":[14,114],"also":[15],"increases":[16],"number":[18],"traffic":[20,30],"accidents.":[21],"driver's":[23,35],"factor":[24],"a":[26,127],"major":[27],"cause":[28],"accidents":[31],"ensuring":[33],"concentration":[36],"while":[37],"driving":[38],"an":[40],"essential":[41],"research":[42],"topic":[43],"along":[44],"with":[45],"development":[47],"autonomous":[49],"cars.":[50],"Recent":[51],"developments":[52],"in":[53,67,84],"artificial":[54],"intelligence":[55],"advanced":[57],"hardware":[58],"systems":[59],"have":[60],"made":[61],"convolutional":[62],"neural":[63,82,95,119],"networks":[64,83],"increasingly":[65],"useful":[66],"computer":[68],"vision.":[69],"purpose":[71],"this":[73,89,118],"article":[74],"to":[76],"explore":[77],"use":[79,106],"ResNet-50":[81,94],"detecting":[85],"driver":[86,128],"distractions.":[87],"In":[88,112],"article,":[90],"performance":[92],"network":[96,120],"studied":[98],"analyzed":[100],"possibility":[103],"its":[105],"for":[107],"distraction":[108],"detection":[109],"explored.":[111],"addition,":[113],"found":[116],"that":[117],"more":[122],"capable":[123],"classifying":[125,133],"whether":[126],"distracted":[130,136],"than":[131],"their":[134],"specific":[135],"behavior.":[137]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
