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International Journal of Information Technology & Computer Science ( IJITCS )

Abstract :

Brain-computer interfaces (BCI) need both hardware and software supports which are generally expensive and one of the main reasons behind they are not affordable for many people around the world. Emotiv EPOC is one of those devices in the present market which can provide electroencephalograph (EEG) signals and explain the brain activities. Before P300 based BCI was well known to the researchers for clinical uses and BCI applications. But in this paper it is reported that, the main challenge for designing a larger matrix based BCI speller can be solved in a different way. Proposed novel matrix algorithm and emokey feature can help to build large matrix. Here for the current study, the matrix size was 7x19 (RC) and 133 symbols were mapped. Generally it is harder to classify the symbols with fixed frequency in a larger matrix cells and the method was followed by many BCI researchers. BCI virtual speller was one of the important applications for the severely disable people. In this paper, Bengali BCI matrix speller is designed for the first time for Bengali speaking people around the world. This speller is also useable for the social networks, writing simple documents and daily life communications over internet. For this virtual keyboard novel matrix algorithm is applied and controlled by eye blinking single emokey. Emokey has a great feature which translates emotional states. It helps to provide a simple input or send specific keystrokes for the application. In this paper, it is presented that the ITR (Information Transfer Rate) is 29.4 bits/min and typing speed was average 7.43 symbol per minute (SPM) and had an accuracy average 94.12% in the experiment .

Keywords :

: Brain Computer Interface, Emotiv EPOC, EEG, Virtual Keyboard, Matrix speller

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