An Adaptive Calibration Framework for mVEP-Based Brain-Computer Interface
نویسندگان
چکیده
منابع مشابه
An MEG-based brain-computer interface (BCI).
Brain-computer interfaces (BCIs) allow for communicating intentions by mere brain activity, not involving muscles. Thus, BCIs may offer patients who have lost all voluntary muscle control the only possible way to communicate. Many recent studies have demonstrated that BCIs based on electroencephalography (EEG) can allow healthy and severely paralyzed individuals to communicate. While this appro...
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Brain-Computer Interfaces (BCI) are communication systems that enable subjects to send commands to computers by using only their brain activity [1]. Most existing BCI are based on ElectroEncephaloGraphy (EEG) as the measure of brain activity [1]. So far, BCI have been proven to be very promising communication and control tools for disabled people [1]. A promising brain signals used in the desig...
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The brain-computer interface (BCI) community started to consider games as potential applications while the games community started to consider BCI as a game controller. However, there is a discrepancy between the BCI games developed by the two communities. In this paper, we propose a preliminary BCI games framework that we constructed with respect to the research conducted in both the BCI and t...
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ژورنال
عنوان ژورنال: Computational and Mathematical Methods in Medicine
سال: 2018
ISSN: 1748-670X,1748-6718
DOI: 10.1155/2018/9476432