Neural Network for Recognition of Brain Wave Signals

Karam, Jalal, Al-Majeed, Salah, Yalung, Christofer N. and Mirtskhulava, Lela (2016) Neural Network for Recognition of Brain Wave Signals. International Journal of Enhanced Research in Science, Technology & Engineering, 5 (10). pp. 36-42. ISSN 2319-7463

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Item Type:Article
Item Status:Live Archive

Abstract

Improving life quality for disabled patients and overall improvement of human thought concentration especially
individuals suffering from Autism and Alzheimer can be accomplished with the aid of Brainwave Computer
Interface (BCI). In this paper, a Radial Basis Functions (RBF) Artificial Neural Network (ANN) is constructed and
a BCI is implemented using NeuroSkyS EEG biosensor for the recognition of brain signals. The analysis is
presented through the consideration of a noisy environment to simulate a BCI in real world applications. A total of
256 data points are acquired in each thought. The data are transmitted via Bluetooth for MATLAB documentation
and recognition rates in the highest 70 percent are recorded.

Keywords:Neural Network, BCI, NeuroSky, Feature Extraction, noisy environment
Subjects:G Mathematical and Computer Sciences > G400 Computer Science
Divisions:College of Science > School of Computer Science
ID Code:46694
Deposited On:27 Sep 2021 13:13

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