{"id":"https://openalex.org/W3085232505","doi":"https://doi.org/10.1145/3408127.3408179","title":"Eye Tracking in Driving Environment Based on Multichannel Convolutional Neural Network","display_name":"Eye Tracking in Driving Environment Based on Multichannel Convolutional Neural Network","publication_year":2020,"publication_date":"2020-06-19","ids":{"openalex":"https://openalex.org/W3085232505","doi":"https://doi.org/10.1145/3408127.3408179","mag":"3085232505"},"language":"en","primary_location":{"id":"doi:10.1145/3408127.3408179","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3408127.3408179","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 4th International Conference on Digital Signal 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/A5005906577","display_name":"Xiaolei Cha","orcid":null},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaolei Cha","raw_affiliation_strings":["School of Information Science and Engineering, University of Jinan, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, University of Jinan, Jinan, China","institution_ids":["https://openalex.org/I34949971"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054830929","display_name":"Xiaohui Yang","orcid":"https://orcid.org/0000-0001-9677-979X"},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohui Yang","raw_affiliation_strings":["School of Information Science and Engineering, University of Jinan, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, University of Jinan, Jinan, China","institution_ids":["https://openalex.org/I34949971"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002797727","display_name":"Yingji Zhang","orcid":"https://orcid.org/0000-0003-1499-3309"},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingji Zhang","raw_affiliation_strings":["School of Information Science and Engineering, University of Jinan, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, University of Jinan, Jinan, China","institution_ids":["https://openalex.org/I34949971"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008870450","display_name":"Zhiquan Feng","orcid":"https://orcid.org/0000-0002-7704-4197"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhiquan Feng","raw_affiliation_strings":["Shandong Provincial Key Laboratory of Network Based Intelligent Computing, Jinan, China"],"affiliations":[{"raw_affiliation_string":"Shandong Provincial Key Laboratory of Network Based Intelligent Computing, Jinan, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100684243","display_name":"Tao Xu","orcid":"https://orcid.org/0000-0002-4409-3777"},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Xu","raw_affiliation_strings":["School of Information Science and Engineering, University of Jinan, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, University of Jinan, Jinan, China","institution_ids":["https://openalex.org/I34949971"]}]},{"author_position":"last","author":{"id":null,"display_name":"Xue Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xue Fan","raw_affiliation_strings":["School of Information Science and Engineering, University of Jinan, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, University of Jinan, Jinan, China","institution_ids":["https://openalex.org/I34949971"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5005906577"],"corresponding_institution_ids":["https://openalex.org/I34949971"],"apc_list":null,"apc_paid":null,"fwci":0.1519,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.49058337,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"141","last_page":"144"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T12006","display_name":"Ergonomics and Musculoskeletal Disorders","score":0.9714000225067139,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social 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/T10914","display_name":"Tactile and Sensory Interactions","score":0.9577000141143799,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.857113242149353},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8154335021972656},{"id":"https://openalex.org/keywords/gaze","display_name":"Gaze","score":0.8074160218238831},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.765285849571228},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7595151662826538},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.731782078742981},{"id":"https://openalex.org/keywords/distraction","display_name":"Distraction","score":0.5538842678070068},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.444053590297699},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4169561564922333}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.857113242149353},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8154335021972656},{"id":"https://openalex.org/C2779916870","wikidata":"https://www.wikidata.org/wiki/Q14467155","display_name":"Gaze","level":2,"score":0.8074160218238831},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.765285849571228},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7595151662826538},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.731782078742981},{"id":"https://openalex.org/C2776378700","wikidata":"https://www.wikidata.org/wiki/Q3030775","display_name":"Distraction","level":2,"score":0.5538842678070068},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.444053590297699},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4169561564922333},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3408127.3408179","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3408127.3408179","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 4th International Conference on Digital Signal 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":10,"referenced_works":["https://openalex.org/W1483253834","https://openalex.org/W1799366690","https://openalex.org/W1963841851","https://openalex.org/W2019177772","https://openalex.org/W2125518445","https://openalex.org/W2132090144","https://openalex.org/W2492303557","https://openalex.org/W2793506100","https://openalex.org/W2962835718","https://openalex.org/W4249970585"],"related_works":["https://openalex.org/W1984342691","https://openalex.org/W2470048815","https://openalex.org/W2324884046","https://openalex.org/W641612223","https://openalex.org/W2906771794","https://openalex.org/W2028203774","https://openalex.org/W2783719297","https://openalex.org/W2161294397","https://openalex.org/W2012644758","https://openalex.org/W2047559669"],"abstract_inverted_index":{"Gaze":[0],"is":[1,17,35,46,69,109,136],"the":[2,12,18,79,87,92,98,104,112,115,123,130,133,152],"most":[3,19],"important":[4,47],"way":[5],"for":[6,81,138],"human":[7,26],"to":[8,24,38,150],"obtain":[9],"information":[10],"from":[11],"outside":[13],"world,":[14],"and":[15,21,28,42,97,143,155],"it":[16,144],"direct":[20],"significant":[22],"cue":[23],"analysis":[25,151],"behavior":[27,154],"intention.":[29],"In":[30,54],"driving":[31,66],"environment,":[32,67],"eye":[33,62,83,89,94],"tracking":[34,63],"usually":[36],"applied":[37],"model":[39],"driver's":[40,82,116,153],"fixations":[41],"gaze":[43,117,140],"allocations,":[44],"which":[45,68,85],"in":[48,65,148],"advanced":[49],"driver":[50,157],"assistance":[51],"system":[52],"(ADAS).":[53],"this":[55],"paper,":[56],"we":[57,77],"have":[58],"proposed":[59,134],"a":[60],"new":[61],"method":[64,135],"based":[70],"on":[71],"multichannel":[72],"convolutional":[73,106],"neural":[74,107],"network.":[75,125],"Firstly,":[76],"establish":[78],"dataset":[80],"tracking,":[84],"includes":[86],"left":[88],"region":[90,95,100],"image,":[91],"right":[93],"image":[96],"face":[99],"image.":[101],"After":[102],"that,":[103],"multi-channel":[105],"network":[108],"training":[110],"using":[111,122],"dataset.":[113],"Finally,":[114],"zone":[118,141],"will":[119],"be":[120,146],"estimated":[121],"pre-trained":[124],"Experimental":[126],"results":[127],"show":[128],"that":[129],"accuracy":[131],"of":[132],"94.60%":[137],"seven":[139],"estimation,":[142],"can":[145],"used":[147],"ADAS":[149],"detect":[156],"distraction.":[158]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
