{"id":"https://openalex.org/W4398226587","doi":"https://doi.org/10.1145/3638682.3638686","title":"Deep Learning-based Experimental System Design for Fatigue Driving Detection","display_name":"Deep Learning-based Experimental System Design for Fatigue Driving Detection","publication_year":2023,"publication_date":"2023-11-24","ids":{"openalex":"https://openalex.org/W4398226587","doi":"https://doi.org/10.1145/3638682.3638686"},"language":"en","primary_location":{"id":"doi:10.1145/3638682.3638686","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3638682.3638686","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 5th International Conference on Video, Signal and Image Processing","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/A5027573897","display_name":"Hongmei Jin","orcid":"https://orcid.org/0009-0001-7729-7936"},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongmei Jin","raw_affiliation_strings":["College of Computer Science and Technology, Xi'an University of Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Xi'an University of Science and Technology, China","institution_ids":["https://openalex.org/I110440473"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020162488","display_name":"Kaihua Cui","orcid":"https://orcid.org/0009-0000-5696-6208"},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaihua Cui","raw_affiliation_strings":["College of Computer Science and Technology, Xi'an University of Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Xi'an University of Science and Technology, China","institution_ids":["https://openalex.org/I110440473"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002219164","display_name":"Ni Jia","orcid":"https://orcid.org/0009-0003-5397-8918"},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ni Jia","raw_affiliation_strings":["College of Computer Science and Technology, Xi'an University of Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Xi'an University of Science and Technology, China","institution_ids":["https://openalex.org/I110440473"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092103039","display_name":"Hao Zhang","orcid":"https://orcid.org/0009-0007-3275-8261"},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Zhang","raw_affiliation_strings":["College of Computer Science and Technology, Xi'an University of Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Xi'an University of Science and Technology, China","institution_ids":["https://openalex.org/I110440473"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101795035","display_name":"Yuying Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuying Shi","raw_affiliation_strings":["College of Computer Science and Technology, Xi'an University of Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Xi'an University of Science and Technology, China","institution_ids":["https://openalex.org/I110440473"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5027573897"],"corresponding_institution_ids":["https://openalex.org/I110440473"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27465899,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"23","last_page":"29"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11373","display_name":"Sleep and Work-Related Fatigue","score":0.9503999948501587,"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/T11373","display_name":"Sleep and Work-Related Fatigue","score":0.9503999948501587,"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/T14155","display_name":"Advanced Technology in Applications","score":0.9312000274658203,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9190000295639038,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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":0.6597468852996826},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.550301730632782},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.5150079727172852},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.47899553179740906},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4346572160720825},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4278605580329895},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3085785508155823},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.13016188144683838}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6597468852996826},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.550301730632782},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.5150079727172852},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.47899553179740906},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4346572160720825},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4278605580329895},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3085785508155823},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.13016188144683838},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3638682.3638686","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3638682.3638686","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 5th International Conference on Video, Signal and Image Processing","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":4,"referenced_works":["https://openalex.org/W3034745255","https://openalex.org/W3163925244","https://openalex.org/W3214938658","https://openalex.org/W6609741587"],"related_works":["https://openalex.org/W2068608913","https://openalex.org/W3124914020","https://openalex.org/W4375867731","https://openalex.org/W2141033859","https://openalex.org/W2077542787","https://openalex.org/W2156434174","https://openalex.org/W2071701083","https://openalex.org/W2383687187","https://openalex.org/W2070401501","https://openalex.org/W2121496884"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,19,21,65,153],"solve":[3],"the":[4,58,61,67,71,74,81,86,92,98,107,112,118,121],"problem":[5],"that":[6],"existing":[7],"fatigue":[8,32,41,93,130,150],"driving":[9,33,94],"detection":[10,34,42,95],"methods":[11],"have":[12],"high":[13],"model":[14],"complexity":[15],"and":[16,27,44,49,78,85,89,97,109,117],"are":[17,63,83,102],"difficult":[18],"deploy":[20],"embedded":[22,54],"devices,":[23],"this":[24],"paper":[25],"designs":[26],"implements":[28],"a":[29],"deep":[30],"learning-based":[31],"experimental":[35],"system.":[36],"The":[37,125],"system":[38,62,82,101,114,122,126],"integrates":[39],"YOLOv5":[40],"algorithm":[43],"Zero-DCE":[45],"low-light":[46],"enhancement":[47],"algorithm,":[48],"is":[50,115,123],"deployed":[51],"on":[52],"an":[53],"development":[55,87,108],"board.":[56],"Firstly,":[57],"requirements":[59,69],"of":[60,70,80,91,111,120,138,146,149],"analyzed":[64],"clarify":[66],"functional":[68,76],"system;":[72],"secondly,":[73],"architecture,":[75],"modules":[77],"interfaces":[79],"outlined,":[84],"environment":[88],"interface":[90],"terminal":[96],"backend":[99],"management":[100],"designed":[103],"in":[104,132],"detail;":[105],"finally,":[106],"implementation":[110],"software":[113],"completed,":[116],"functionality":[119],"tested.":[124],"can":[127],"detect":[128],"driver":[129],"status":[131],"real":[133],"time":[134],"and,":[135],"establish":[136],"visualization":[137],"big":[139],"data":[140],"Kanban":[141],"analysis,":[142],"real-time":[143],"dynamic":[144],"analysis":[145],"all":[147],"kinds":[148],"abnormal":[151],"information":[152],"issue":[154],"timely":[155],"alarms.":[156]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}