{"title":"基于视频覆盖SSVEP的bci的可用性","authors":"C. Kapeller, C. Hintermüller, C. Guger","doi":"10.1145/2160125.2160151","DOIUrl":null,"url":null,"abstract":"This work investigates the usability of an steady-state visual evoked potentials (SSVEP) based brain-computer interface (BCI) with on-screen stimulation. The BCI controls were displayed with an underlying feedback video. Each control had a unique flashing frequency. For classification a combination of minimum energy (ME) and linear discriminant analysis (LDA) was used. Two experiments showed that the use of overlaying controls is possible, but also decreasing the performance.","PeriodicalId":407457,"journal":{"name":"International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Usability of video-overlaying SSVEP based BCIs\",\"authors\":\"C. Kapeller, C. Hintermüller, C. Guger\",\"doi\":\"10.1145/2160125.2160151\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work investigates the usability of an steady-state visual evoked potentials (SSVEP) based brain-computer interface (BCI) with on-screen stimulation. The BCI controls were displayed with an underlying feedback video. Each control had a unique flashing frequency. For classification a combination of minimum energy (ME) and linear discriminant analysis (LDA) was used. Two experiments showed that the use of overlaying controls is possible, but also decreasing the performance.\",\"PeriodicalId\":407457,\"journal\":{\"name\":\"International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-03-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2160125.2160151\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2160125.2160151","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This work investigates the usability of an steady-state visual evoked potentials (SSVEP) based brain-computer interface (BCI) with on-screen stimulation. The BCI controls were displayed with an underlying feedback video. Each control had a unique flashing frequency. For classification a combination of minimum energy (ME) and linear discriminant analysis (LDA) was used. Two experiments showed that the use of overlaying controls is possible, but also decreasing the performance.
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