{"id":"https://openalex.org/W6944535749","doi":"https://doi.org/10.21227/mnja-3553","title":"Alcohol Detection in Drivers by Sensors and Computer Vision","display_name":"Alcohol Detection in Drivers by Sensors and Computer Vision","publication_year":2019,"publication_date":"2019-01-23","ids":{"openalex":"https://openalex.org/W6944535749","doi":"https://doi.org/10.21227/mnja-3553"},"language":"en","primary_location":{"id":"doi:10.21227/mnja-3553","is_oa":true,"landing_page_url":"https://doi.org/10.21227/mnja-3553","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":[],"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":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"dataset"},"type":"dataset","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.21227/mnja-3553","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Rosero-Montalvo, Paul D.","orcid":"https://orcid.org/0000-0003-1995-400X"},"institutions":[{"id":"https://openalex.org/I184999862","display_name":"Universidad de Salamanca","ror":"https://ror.org/02f40zc51","country_code":"ES","type":"education","lineage":["https://openalex.org/I184999862"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Rosero-Montalvo, Paul D.","raw_affiliation_strings":["Salamanca University"],"affiliations":[{"raw_affiliation_string":"Salamanca University","institution_ids":["https://openalex.org/I184999862"]}]},{"author_position":"last","author":{"id":null,"display_name":"Peluffo-Ord\u00f3\u00f1ez, Diego","orcid":null},"institutions":[{"id":"https://openalex.org/I3130401523","display_name":"Universidad Yachay Tech","ror":"https://ror.org/04jjswc10","country_code":"EC","type":"education","lineage":["https://openalex.org/I3130401523"]}],"countries":["EC"],"is_corresponding":false,"raw_author_name":"Peluffo-Ord\u00f3\u00f1ez, Diego","raw_affiliation_strings":["Yachay Tech"],"affiliations":[{"raw_affiliation_string":"Yachay Tech","institution_ids":["https://openalex.org/I3130401523"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I184999862"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.48240000009536743},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.447299987077713},{"id":"https://openalex.org/keywords/sclera","display_name":"Sclera","score":0.38359999656677246},{"id":"https://openalex.org/keywords/alcohol-intake","display_name":"Alcohol intake","score":0.382999986410141},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.35519999265670776},{"id":"https://openalex.org/keywords/alcohol","display_name":"Alcohol","score":0.34779998660087585},{"id":"https://openalex.org/keywords/temperature-measurement","display_name":"Temperature measurement","score":0.3418000042438507}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6862000226974487},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6075999736785889},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5228999853134155},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.48240000009536743},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.447299987077713},{"id":"https://openalex.org/C2777100477","wikidata":"https://www.wikidata.org/wiki/Q193107","display_name":"Sclera","level":2,"score":0.38359999656677246},{"id":"https://openalex.org/C3018430727","wikidata":"https://www.wikidata.org/wiki/Q11058472","display_name":"Alcohol intake","level":3,"score":0.382999986410141},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.35519999265670776},{"id":"https://openalex.org/C2781066024","wikidata":"https://www.wikidata.org/wiki/Q156","display_name":"Alcohol","level":2,"score":0.34779998660087585},{"id":"https://openalex.org/C72293138","wikidata":"https://www.wikidata.org/wiki/Q909741","display_name":"Temperature measurement","level":2,"score":0.3418000042438507},{"id":"https://openalex.org/C2777394604","wikidata":"https://www.wikidata.org/wiki/Q173318","display_name":"Pupil","level":2,"score":0.3271999955177307},{"id":"https://openalex.org/C2779503344","wikidata":"https://www.wikidata.org/wiki/Q5973514","display_name":"IRIS (biosensor)","level":3,"score":0.32120001316070557},{"id":"https://openalex.org/C76935873","wikidata":"https://www.wikidata.org/wiki/Q209121","display_name":"Image sensor","level":2,"score":0.31690001487731934},{"id":"https://openalex.org/C2994312012","wikidata":"https://www.wikidata.org/wiki/Q886470","display_name":"Blood alcohol","level":4,"score":0.30059999227523804},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.30000001192092896},{"id":"https://openalex.org/C2983363897","wikidata":"https://www.wikidata.org/wiki/Q845339","display_name":"Air temperature","level":2,"score":0.25940001010894775},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.2583000063896179}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21227/mnja-3553","is_oa":true,"landing_page_url":"https://doi.org/10.21227/mnja-3553","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":[],"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":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"dataset"}],"best_oa_location":{"id":"doi:10.21227/mnja-3553","is_oa":true,"landing_page_url":"https://doi.org/10.21227/mnja-3553","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":[],"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":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"dataset"},"sustainable_development_goals":[{"score":0.43634217977523804,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0,18,76,87,150,158],"present":[1],"dataset":[2],"is":[3,74,90,162,188,192],"based":[4],"on":[5,46],"implementing":[6],"of":[7,15,28,30,42,61,85,119,134,164,194],"3":[8],"approaches":[9],"with":[10,201],"respect":[11],"to":[12,24,55,81,94,97,113,140,183,210,213],"the":[13,33,40,43,59,62,83,91,105,115,120,128,132,142,173,184,190,199,214,218],"acquisition":[14],"driver":[16],"data.":[17],"same":[19,77],"one":[20,52,78],"that":[21,38,53,79,127,141,163,179,197],"we":[22,111],"propose":[23],"use":[25,205],"a":[26,36,67,70,108,168,206],"sensor":[27,37,73,89,153],"concentration":[29],"alcohol":[31,172,202],"in":[32,131],"environment":[34],"(physiological),":[35],"measure":[39],"temperature":[41,129,152,181,200],"defined":[44],"points":[45],"driver\u2019s":[47],"face":[48,133],"(biological)":[49],"and":[50,57,100,144,216],"another":[51],"allows":[54],"identify":[56],"recognize":[58],"thickness":[60],"pupil":[63,215],"(visual":[64],"characteristics).":[65],"As":[66,107],"first":[68],"approach,":[69,110],"gas":[71],"detection":[72],"implemented.":[75],"seeks":[80],"reveal":[82],"presence":[84],"ethanol.":[86],"selected":[88],"MQ-3,":[92],"due":[93,139],"its":[95,101,180],"sensitivity":[96],"different":[98],"gases":[99],"rapid":[102],"integration":[103],"into":[104],"systems.":[106],"second":[109],"seek":[112],"determine":[114,155],"facial":[116],"thermal":[117],"change":[118],"person.":[121],"Since":[122],"it":[123],"has":[124],"been":[125],"proven":[126],"increases":[130],"an":[135],"alcoholic":[136],"person":[137,169],",":[138],"arteries":[143],"blood":[145,195],"vessels":[146,196],"increase":[147,198],"their":[148,219],"activity.":[149],"MLX90621":[151],"must":[154],"this":[156],"variations.":[157],"third":[159],"approach":[160],"used":[161],"visual":[165],"characteristics.":[166],"Because":[167],"who":[170],"consumes":[171],"iris":[174],"becomes":[175],"darker,":[176],"which":[177],"means":[178],"compared":[182],"sclerotic":[185],"decreases.":[186],"This":[187],"because":[189],"sclera":[191],"full":[193],"consumption.":[203],"We":[204],"Raspberry":[207],"Pi":[208],"Camera":[209],"acquire":[211],"images":[212],"find":[217],"radio.":[220]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
