Aziz Koçanaoğulları, Y. Marghi, M. Akçakaya, Deniz Erdoğmuş
{"title":"An active recursive state estimation framework for brain-interfaced typing systems","authors":"Aziz Koçanaoğulları, Y. Marghi, M. Akçakaya, Deniz Erdoğmuş","doi":"10.1080/2326263x.2020.1729652","DOIUrl":null,"url":null,"abstract":"Typing systems driven by noninvasive electroencephalogram (EEG)-based brain–computer interfaces (BCIs) can help people with severe communication disorders (including locked-in state) communicate. T...","PeriodicalId":45112,"journal":{"name":"Brain-Computer Interfaces","volume":"20 1","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2019-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Brain-Computer Interfaces","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/2326263x.2020.1729652","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, BIOMEDICAL","Score":null,"Total":0}
引用次数: 3
Abstract
Typing systems driven by noninvasive electroencephalogram (EEG)-based brain–computer interfaces (BCIs) can help people with severe communication disorders (including locked-in state) communicate. T...