D. Milici, A. Graur, M. Poienar, M. Cenușă, Andrei Barascu
{"title":"疲劳识别系统的研究","authors":"D. Milici, A. Graur, M. Poienar, M. Cenușă, Andrei Barascu","doi":"10.1109/SIELMEN.2017.8123370","DOIUrl":null,"url":null,"abstract":"The paper presents a designed, implemented and tested application intended to evaluate the level of attention to people who perform activities that require a high level of concentration, using a measurement system in one point of the electroencephalographic signal. The paper presents the hardware and software structure that highlights the advantages of the system.","PeriodicalId":403279,"journal":{"name":"2017 International Conference on Electromechanical and Power Systems (SIELMEN)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Study of a tiredness identification system\",\"authors\":\"D. Milici, A. Graur, M. Poienar, M. Cenușă, Andrei Barascu\",\"doi\":\"10.1109/SIELMEN.2017.8123370\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper presents a designed, implemented and tested application intended to evaluate the level of attention to people who perform activities that require a high level of concentration, using a measurement system in one point of the electroencephalographic signal. The paper presents the hardware and software structure that highlights the advantages of the system.\",\"PeriodicalId\":403279,\"journal\":{\"name\":\"2017 International Conference on Electromechanical and Power Systems (SIELMEN)\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Conference on Electromechanical and Power Systems (SIELMEN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIELMEN.2017.8123370\",\"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 International Conference on Electromechanical and Power Systems (SIELMEN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIELMEN.2017.8123370","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The paper presents a designed, implemented and tested application intended to evaluate the level of attention to people who perform activities that require a high level of concentration, using a measurement system in one point of the electroencephalographic signal. The paper presents the hardware and software structure that highlights the advantages of the system.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
