{"id":"https://openalex.org/W4327521176","doi":"https://doi.org/10.1145/3573428.3573569","title":"Driver Distracted Behavior Detection Based on Deep Learning","display_name":"Driver Distracted Behavior Detection Based on Deep Learning","publication_year":2022,"publication_date":"2022-10-21","ids":{"openalex":"https://openalex.org/W4327521176","doi":"https://doi.org/10.1145/3573428.3573569"},"language":"en","primary_location":{"id":"doi:10.1145/3573428.3573569","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3573428.3573569","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3573428.3573569","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3573428.3573569","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060833725","display_name":"Xinyu Qi","orcid":"https://orcid.org/0000-0003-3166-9818"},"institutions":[{"id":"https://openalex.org/I20942203","display_name":"Hainan University","ror":"https://ror.org/03q648j11","country_code":"CN","type":"education","lineage":["https://openalex.org/I20942203"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xinyu Qi","raw_affiliation_strings":["Internet Information Retrieval Major Laboratory of Hainan Province,School of Information and Communication Engineering, Hainan University, China"],"raw_orcid":"https://orcid.org/0000-0003-3166-9818","affiliations":[{"raw_affiliation_string":"Internet Information Retrieval Major Laboratory of Hainan Province,School of Information and Communication Engineering, Hainan University, China","institution_ids":["https://openalex.org/I20942203"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5060833725"],"corresponding_institution_ids":["https://openalex.org/I20942203"],"apc_list":null,"apc_paid":null,"fwci":0.1687,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.48019247,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"786","last_page":"790"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9980999827384949,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9980999827384949,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.991100013256073,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9794999957084656,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/computer-science","display_name":"Computer science","score":0.7937819361686707},{"id":"https://openalex.org/keywords/distracted-driving","display_name":"Distracted driving","score":0.698903501033783},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5398845076560974},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5253574252128601},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4902961552143097},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.45007988810539246},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4467950165271759},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4259584844112396},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4180673360824585},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3553577661514282},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.25138217210769653},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.19789940118789673},{"id":"https://openalex.org/keywords/poison-control","display_name":"Poison control","score":0.18696171045303345}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7937819361686707},{"id":"https://openalex.org/C2776465824","wikidata":"https://www.wikidata.org/wiki/Q5283083","display_name":"Distracted driving","level":3,"score":0.698903501033783},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5398845076560974},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5253574252128601},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4902961552143097},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.45007988810539246},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4467950165271759},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4259584844112396},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4180673360824585},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3553577661514282},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.25138217210769653},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.19789940118789673},{"id":"https://openalex.org/C3017944768","wikidata":"https://www.wikidata.org/wiki/Q1450463","display_name":"Poison control","level":2,"score":0.18696171045303345},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3573428.3573569","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3573428.3573569","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3573428.3573569","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3573428.3573569","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3573428.3573569","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3573428.3573569","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.7099999785423279}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4327521176.pdf","grobid_xml":"https://content.openalex.org/works/W4327521176.grobid-xml"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W1981276685","https://openalex.org/W2102605133","https://openalex.org/W2109255472","https://openalex.org/W2531409750","https://openalex.org/W2565639579","https://openalex.org/W2752782242","https://openalex.org/W2963037989","https://openalex.org/W2963163009","https://openalex.org/W2963857746","https://openalex.org/W2982083293","https://openalex.org/W4205520016","https://openalex.org/W6604344240","https://openalex.org/W6732629455"],"related_works":["https://openalex.org/W3040942229","https://openalex.org/W4381742003","https://openalex.org/W4375867731","https://openalex.org/W3151767706","https://openalex.org/W2499675754","https://openalex.org/W2949096641","https://openalex.org/W2970686063","https://openalex.org/W4320729701","https://openalex.org/W3034745255","https://openalex.org/W4254103348"],"abstract_inverted_index":{"In":[0],"the":[1,5,36,43,50,55,82,92,101],"traffic":[2,14,31],"control":[3,32],"system,":[4],"driver's":[6,37],"distracted":[7,20,38],"behavior":[8,21,39],"detection":[9,75,83,93],"is":[10,95,104],"particularly":[11],"important":[12],"for":[13,58],"safety.":[15],"Traffic":[16],"accidents":[17],"caused":[18],"by":[19,106],"of":[22,61],"motor":[23],"vehicle":[24],"drivers":[25],"are":[26],"a":[27],"common":[28],"problem":[29],"in":[30],"systems.":[33],"Focusing":[34],"on":[35,42],"detection,":[40,62],"based":[41],"original":[44],"YOLOv4":[45],"framework,":[46],"this":[47],"paper":[48],"uses":[49,64],"lightweight":[51],"network":[52,57],"mobilenet":[53],"as":[54],"backbone":[56],"real-time":[59],"requirements":[60],"and":[63,73,100],"Depthwise":[65],"Separable":[66],"Convolution":[67],"(DSC)":[68],"to":[69,80],"reduce":[70],"model":[71],"calculation":[72],"improve":[74,81],"speed;":[76],"increases":[77],"SE":[78],"module":[79],"accuracy.":[84],"The":[85],"actual":[86],"surveillance":[87],"video":[88],"data":[89],"shows":[90],"that":[91],"speed":[94],"27fps":[96],"faster":[97],"than":[98],"YOLOv4,":[99],"recognition":[102],"accuracy":[103],"increased":[105],"2%.":[107]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}
