{"title":"基于视觉反馈的无创脑机接口有效运动意象训练","authors":"Sungho Jo, Jin Woo Choi","doi":"10.1109/IWW-BCI.2018.8311524","DOIUrl":null,"url":null,"abstract":"In this study, we propose an effective training method for 2-class motor imagery tasks on brain computer interface (BCI) systems viable even for distracting environments. For non-invasive BCIs, it is difficult to capture event-related desynchronization (ERD) and event-related synchronization (ERS) signals through electroencephalogram (EEG) in places where it is difficult for subjects to concentrate. To improve concentration under a distracting environment, our proposed training method implemented a graphical interface as a source of visual feedback. The performance of the implemented training method is evaluated by comparing its results with those of a training method that does not support visual feedback. The experiments are held while a variety of noises are produced to simulate a distracting environment. The results of the experiment demonstrate the effectiveness of the proposed training method in distracting environments for 2-class motor imagery tasks.","PeriodicalId":6537,"journal":{"name":"2018 6th International Conference on Brain-Computer Interface (BCI)","volume":"26 1","pages":"1-4"},"PeriodicalIF":0.0000,"publicationDate":"2018-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Effective motor imagery training with visual feedback for non-invasive brain computer interface\",\"authors\":\"Sungho Jo, Jin Woo Choi\",\"doi\":\"10.1109/IWW-BCI.2018.8311524\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this study, we propose an effective training method for 2-class motor imagery tasks on brain computer interface (BCI) systems viable even for distracting environments. For non-invasive BCIs, it is difficult to capture event-related desynchronization (ERD) and event-related synchronization (ERS) signals through electroencephalogram (EEG) in places where it is difficult for subjects to concentrate. To improve concentration under a distracting environment, our proposed training method implemented a graphical interface as a source of visual feedback. The performance of the implemented training method is evaluated by comparing its results with those of a training method that does not support visual feedback. The experiments are held while a variety of noises are produced to simulate a distracting environment. The results of the experiment demonstrate the effectiveness of the proposed training method in distracting environments for 2-class motor imagery tasks.\",\"PeriodicalId\":6537,\"journal\":{\"name\":\"2018 6th International Conference on Brain-Computer Interface (BCI)\",\"volume\":\"26 1\",\"pages\":\"1-4\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-01-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 6th International Conference on Brain-Computer Interface (BCI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IWW-BCI.2018.8311524\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 6th International Conference on Brain-Computer Interface (BCI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWW-BCI.2018.8311524","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Effective motor imagery training with visual feedback for non-invasive brain computer interface
In this study, we propose an effective training method for 2-class motor imagery tasks on brain computer interface (BCI) systems viable even for distracting environments. For non-invasive BCIs, it is difficult to capture event-related desynchronization (ERD) and event-related synchronization (ERS) signals through electroencephalogram (EEG) in places where it is difficult for subjects to concentrate. To improve concentration under a distracting environment, our proposed training method implemented a graphical interface as a source of visual feedback. The performance of the implemented training method is evaluated by comparing its results with those of a training method that does not support visual feedback. The experiments are held while a variety of noises are produced to simulate a distracting environment. The results of the experiment demonstrate the effectiveness of the proposed training method in distracting environments for 2-class motor imagery tasks.