{"id":"https://openalex.org/W3114651779","doi":"https://doi.org/10.1145/3438872.3439093","title":"Robust Two-Stream Multi-Features Network for Driver Drowsiness Detection","display_name":"Robust Two-Stream Multi-Features Network for Driver Drowsiness Detection","publication_year":2020,"publication_date":"2020-10-17","ids":{"openalex":"https://openalex.org/W3114651779","doi":"https://doi.org/10.1145/3438872.3439093","mag":"3114651779"},"language":"en","primary_location":{"id":"doi:10.1145/3438872.3439093","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3438872.3439093","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 2nd International Conference on Robotics, Intelligent Control and Artificial Intelligence","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/A5019320923","display_name":"Qi Shen","orcid":"https://orcid.org/0000-0001-7096-3732"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qi Shen","raw_affiliation_strings":["School of Electronics and Information Engineering, Tongji University"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Tongji University","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035948567","display_name":"Shengjie Zhao","orcid":"https://orcid.org/0000-0002-6109-2522"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengjie Zhao","raw_affiliation_strings":["School of Electronics and Information Engineering, Tongji University"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Tongji University","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100695813","display_name":"Rongqing Zhang","orcid":"https://orcid.org/0000-0003-3774-6247"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rongqing Zhang","raw_affiliation_strings":["School of Software Tongji University"],"affiliations":[{"raw_affiliation_string":"School of Software Tongji University","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103046617","display_name":"Bin Zhang","orcid":"https://orcid.org/0000-0002-8001-0633"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Zhang","raw_affiliation_strings":["School of Electronics and Information Engineering, Tongji University"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Tongji University","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5019320923"],"corresponding_institution_ids":["https://openalex.org/I116953780"],"apc_list":null,"apc_paid":null,"fwci":1.3668,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.82301194,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"271","last_page":"277"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11373","display_name":"Sleep and Work-Related Fatigue","score":0.9998999834060669,"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":0.9998999834060669,"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/T12406","display_name":"IoT and GPS-based Vehicle Safety Systems","score":0.9847999811172485,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9763000011444092,"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":0.7738032937049866},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6176457405090332},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5592585206031799},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.5368924736976624},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5082489848136902},{"id":"https://openalex.org/keywords/adaptive-histogram-equalization","display_name":"Adaptive histogram equalization","score":0.4909244179725647},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4809238612651825},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47957295179367065},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.46766674518585205},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4640912413597107},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4633849561214447},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.33795273303985596},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2508712112903595},{"id":"https://openalex.org/keywords/histogram-equalization","display_name":"Histogram equalization","score":0.24008995294570923},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1967718005180359}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7738032937049866},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6176457405090332},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5592585206031799},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.5368924736976624},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5082489848136902},{"id":"https://openalex.org/C30387639","wikidata":"https://www.wikidata.org/wiki/Q4680744","display_name":"Adaptive histogram equalization","level":5,"score":0.4909244179725647},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4809238612651825},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47957295179367065},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.46766674518585205},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4640912413597107},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4633849561214447},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.33795273303985596},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2508712112903595},{"id":"https://openalex.org/C136943445","wikidata":"https://www.wikidata.org/wiki/Q1970240","display_name":"Histogram equalization","level":4,"score":0.24008995294570923},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1967718005180359},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3438872.3439093","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3438872.3439093","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 2nd International Conference on Robotics, Intelligent Control and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"id":"https://metadata.un.org/sdg/14","display_name":"Life below water"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1612736460","https://openalex.org/W2027286771","https://openalex.org/W2042680300","https://openalex.org/W2083638830","https://openalex.org/W2115576097","https://openalex.org/W2151343288","https://openalex.org/W2279055374","https://openalex.org/W2295580156","https://openalex.org/W2326965557","https://openalex.org/W2341528187","https://openalex.org/W2597707652","https://openalex.org/W2612445135","https://openalex.org/W2751088292","https://openalex.org/W2945504608","https://openalex.org/W2953653976","https://openalex.org/W2992048516","https://openalex.org/W3101998545","https://openalex.org/W4238125658","https://openalex.org/W4249502209","https://openalex.org/W6600566992","https://openalex.org/W6607845342","https://openalex.org/W6863494055"],"related_works":["https://openalex.org/W2511137960","https://openalex.org/W2550539038","https://openalex.org/W2767563364","https://openalex.org/W2546942002","https://openalex.org/W4386303287","https://openalex.org/W1986586280","https://openalex.org/W1983610137","https://openalex.org/W121273120","https://openalex.org/W2131911629","https://openalex.org/W2380902646"],"abstract_inverted_index":{"Drowsiness":[0,182],"driving":[1],"is":[2,58,107,171],"a":[3,61],"major":[4],"cause":[5],"of":[6,67,85,116,147,164,191],"traffic":[7],"accidents,":[8],"and":[9,94,130,154,173,186],"thus":[10],"numerous":[11],"previous":[12],"researches":[13],"have":[14,24],"focused":[15],"on":[16,175],"driver":[17,88],"drowsiness":[18,168],"detection.":[19,31],"Many":[20],"drive":[21],"relevant":[22],"factors":[23],"been":[25],"taken":[26],"into":[27,77],"consideration":[28],"for":[29,91,137],"fatigue":[30,56,92,197],"They":[32],"can":[33,74],"lead":[34],"to":[35,112,140,156],"high":[36],"precision,":[37],"but":[38],"there":[39],"are":[40,50,135],"still":[41],"several":[42],"serious":[43],"constraints,":[44],"such":[45],"as":[46,60],"most":[47,195],"existing":[48,196],"models":[49],"environmentally":[51],"susceptible.":[52],"In":[53],"this":[54],"paper,":[55],"detection":[57,64,72,93,169,198],"considered":[59],"temporal":[62,142],"action":[63],"problem":[65],"instead":[66],"image":[68],"classification.":[69],"The":[70,145,167],"proposed":[71],"system":[73,111,170],"be":[75,152],"divided":[76],"four":[78],"parts:":[79],"(1)":[80],"Localize":[81],"the":[82,86,96,114,148,157,162,165,176],"key":[83],"patches":[84],"detected":[87],"facial":[89],"picture":[90],"calculate":[95],"corresponding":[97],"optical":[98],"flow.":[99],"(2)":[100],"Contrast":[101],"Limited":[102],"Adaptive":[103],"Histogram":[104],"Equalization":[105],"(CLAHE)":[106],"used":[108],"in":[109],"our":[110],"reduce":[113],"impact":[115],"different":[117],"light":[118],"conditions.":[119],"(3)":[120],"Three":[121],"individual":[122],"two-stream":[123],"networks":[124],"combined":[125],"with":[126],"3D":[127,131],"attention":[128],"mechanism":[129],"depthwise":[132],"separable":[133],"convolution":[134],"designed":[136],"each":[138],"feature":[139],"extract":[141],"information.":[143],"(4)":[144],"outputs":[146],"three":[149],"sub-networks":[150],"will":[151],"concatenated":[153],"sent":[155],"fully-connected":[158],"network,":[159],"which":[160,193],"judges":[161],"status":[163],"driver.":[166],"trained":[172],"evaluated":[174],"famous":[177],"National":[178],"Tsingua":[179],"University":[180],"Driver":[181],"Detection":[183],"(NTHU-DDD)":[184],"dataset":[185],"we":[187],"obtain":[188],"an":[189],"accuracy":[190],"94.46%,":[192],"outperforms":[194],"models.":[199]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
