{"title":"Design of Intelligent Car Steward Controlled by Brain Waves","authors":"Zhaoye Li, Yi Liu, F. Yu, Xinguo Cui, Zhaojun Xue","doi":"10.1109/IAEAC.2018.8577708","DOIUrl":null,"url":null,"abstract":"A new and intelligent kind of car steward system was designed based on brain waves control. The system was composed of head-mounted sensors and car steward. When drivers were tired in different levels, analysis of brain waves signals could suggest difference. Brain waves could be divided into five different waves, δ wave, θ wave, a wave, beta brain wave and gamma wave. According to scalp electrodes, brain waves of drivers could be obtained and transmitted to processor. Levels of tiredness could be concluded relying on the driver's brain waves.","PeriodicalId":6573,"journal":{"name":"2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"3 1","pages":"2152-2155"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IAEAC.2018.8577708","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
A new and intelligent kind of car steward system was designed based on brain waves control. The system was composed of head-mounted sensors and car steward. When drivers were tired in different levels, analysis of brain waves signals could suggest difference. Brain waves could be divided into five different waves, δ wave, θ wave, a wave, beta brain wave and gamma wave. According to scalp electrodes, brain waves of drivers could be obtained and transmitted to processor. Levels of tiredness could be concluded relying on the driver's brain waves.
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