IJEEDC Textual Brain-Computer Interface using EEG Signals: Conceptual Study

Journal Paper

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

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

Article Citation :D Shravani ,Pratyusha Jaitly ,Akshara Madugula ,Tanya Soni , (2018 ) " Textual Brain-Computer Interface using EEG Signals: Conceptual Study " , International Journal of Electrical, Electronics and Data Communication (IJEEDC) , pp. 1-4, Volume-6,Issue-2

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

Type : Research paper

Published : Volume-6,Issue-2


	\|		PDF	\|	Viewed - 93	\|	Published on 2018-04-09

Apr. 2025
Submitted Papers	:	80
Accepted Papers	:	10
Rejected Papers	:	70
Acc. Perc	:	12%
Issue Published	:	143
Paper Published	:	1781
No. of Authors	:	4956

Published : Volume-6,Issue-2

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