International Journal of Electrical, Electronics and Data Communication (IJEEDC)
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Volume-7,Issue-12  ( Dec, 2019 )
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Statistics report
Feb. 2020
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 84
Paper Published : 1397
No. of Authors : 3784
  Journal Paper

Paper Title
Textual Brain-Computer Interface using EEG Signals: Conceptual Study

Abstract
We propose a system where the words can be predicted using the classified brainwaves produced by cognitive and expressive factors. The brain activities are identified by the parts of the brain that gets activated by the corresponding action prescribed to the subject. This paper also investigates the use of virtual keyboard to predict what word the subject is thinking. Using dynamic prediction algorithm encoded in a network of neural nets, the system is implemented. We make a BCI that utilizes EEG signals which represent the cognitive functions activated in the brain connected to the letters though. This approach is not only fast but also focuses on circumventing problems that are faced by the disabled (due to degeneration of motor neurons). Keywords - BCI, EEG, Cognitive Factors, Expressive Factors


Author - D Shravani, Pratyusha Jaitly, Akshara Madugula, Tanya Soni

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| Published on 2018-04-09
   
   
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