P. K. Stanley, T. Jaya Prahash, S. Sibin Lal, P. V. Daniel
{"title":"基于嵌入式睡意检测的脑电图信号","authors":"P. K. Stanley, T. Jaya Prahash, S. Sibin Lal, P. V. Daniel","doi":"10.1109/ICPCSI.2017.8392186","DOIUrl":null,"url":null,"abstract":"This paper presentsa physical wireless Electroencephalogram (EEG) based EEG sensor system for detecting drowsiness. Drowsiness of the driver being one of the major reasons for road accidents a drowsiness detector can prevent the road accidents with ease. This EEG sensor system monitors the human cognitive state and provides a biofeedback to the driver while he is drowsy. This system detects the fluctuation in driver's performance with respect to their brain activity and modulates the EEG recording. The drawback of this system is its inability to detect the driver's eye closure, poor accuracy and it's insufficient reaction time to detect the drowsiness.","PeriodicalId":6589,"journal":{"name":"2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI)","volume":"60 1","pages":"2596-2600"},"PeriodicalIF":0.0000,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Embedded based drowsiness detection using EEG signals\",\"authors\":\"P. K. Stanley, T. Jaya Prahash, S. Sibin Lal, P. V. Daniel\",\"doi\":\"10.1109/ICPCSI.2017.8392186\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presentsa physical wireless Electroencephalogram (EEG) based EEG sensor system for detecting drowsiness. Drowsiness of the driver being one of the major reasons for road accidents a drowsiness detector can prevent the road accidents with ease. This EEG sensor system monitors the human cognitive state and provides a biofeedback to the driver while he is drowsy. This system detects the fluctuation in driver's performance with respect to their brain activity and modulates the EEG recording. The drawback of this system is its inability to detect the driver's eye closure, poor accuracy and it's insufficient reaction time to detect the drowsiness.\",\"PeriodicalId\":6589,\"journal\":{\"name\":\"2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI)\",\"volume\":\"60 1\",\"pages\":\"2596-2600\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPCSI.2017.8392186\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPCSI.2017.8392186","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Embedded based drowsiness detection using EEG signals
This paper presentsa physical wireless Electroencephalogram (EEG) based EEG sensor system for detecting drowsiness. Drowsiness of the driver being one of the major reasons for road accidents a drowsiness detector can prevent the road accidents with ease. This EEG sensor system monitors the human cognitive state and provides a biofeedback to the driver while he is drowsy. This system detects the fluctuation in driver's performance with respect to their brain activity and modulates the EEG recording. The drawback of this system is its inability to detect the driver's eye closure, poor accuracy and it's insufficient reaction time to detect the drowsiness.