An active recursive state estimation framework for brain-interfaced typing systems

IF 1.8 Q3 ENGINEERING, BIOMEDICAL
Aziz Koçanaoğulları, Y. Marghi, M. Akçakaya, Deniz Erdoğmuş
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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...
脑接口分型系统的主动递归状态估计框架
基于无创脑电图(EEG)的脑机接口(bci)驱动的打字系统可以帮助患有严重沟通障碍(包括闭锁状态)的人进行沟通。T…
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来源期刊
CiteScore
4.00
自引率
9.50%
发文量
14
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