{"title":"音乐播放器的脑电图控制","authors":"Zhao Li, Guo Xuhong","doi":"10.1109/ICINIS.2012.15","DOIUrl":null,"url":null,"abstract":"This paper proposes the design of a brain-computer interface control system based on steady-state visual evoked potential, which is complete and feasible. The system is set up on the LabVIEW platform, using LabVIEW power spectrum VI and producer/consumer design pattern to achieve the effective extraction of the steady-state visual evoked potential and real-time control of the EEG on the music player, respectively. The experimental result demonstrates the effectiveness of the proposed control system.","PeriodicalId":302503,"journal":{"name":"2012 Fifth International Conference on Intelligent Networks and Intelligent Systems","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"EEG Control of Music Player\",\"authors\":\"Zhao Li, Guo Xuhong\",\"doi\":\"10.1109/ICINIS.2012.15\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes the design of a brain-computer interface control system based on steady-state visual evoked potential, which is complete and feasible. The system is set up on the LabVIEW platform, using LabVIEW power spectrum VI and producer/consumer design pattern to achieve the effective extraction of the steady-state visual evoked potential and real-time control of the EEG on the music player, respectively. The experimental result demonstrates the effectiveness of the proposed control system.\",\"PeriodicalId\":302503,\"journal\":{\"name\":\"2012 Fifth International Conference on Intelligent Networks and Intelligent Systems\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Fifth International Conference on Intelligent Networks and Intelligent Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICINIS.2012.15\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Fifth International Conference on Intelligent Networks and Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICINIS.2012.15","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper proposes the design of a brain-computer interface control system based on steady-state visual evoked potential, which is complete and feasible. The system is set up on the LabVIEW platform, using LabVIEW power spectrum VI and producer/consumer design pattern to achieve the effective extraction of the steady-state visual evoked potential and real-time control of the EEG on the music player, respectively. The experimental result demonstrates the effectiveness of the proposed control system.