2nd International Conference on Fostering Interdisciplinary Research In Health Sciences (ICFIRHS) 2019 (01-May-2019)        |

Journal :   Research Journal of Pharmacy and Technology

Volume No. :   11

Issue No. :  10

Year :  2018

Pages :   4397-4400

ISSN Print :  0974-3618

ISSN Online :  0974-360X


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Development of Brain Computer Interface, using Neural Network



Address:   Mr. D. Ravikumar1, Dr. V. Devi2, Dr. Arun Raaza3
1Research Scholar, Department of Electronics and Communication Engineering, VISTAS, Chennai.
2Dean and HOD, Department of Computer Applications, Gurunanak College, Chennai
3Dy. Director Research and Development – CARD, VISTAS, Chennai.
*Corresponding Author
DOI No: 10.5958/0974-360X.2018.00804.1

ABSTRACT:
This paper focus on the development of a Brain Computer Interface (BCI) using neural network, where BCI is an electronic communication system which accomplish the operating principle of “stimulate thinking and make it happen destitute of anyone’s physical e?orts”. Based on the environmental conditions the BCI allows the users to act on his thoughts, without using their peripheral muscles and nerves. A machine learning algorithm is included in all the neighboring BCI, which learns a function from the training data’s besides used to distinguish non identical brain activities. The investigation of this work with Brain Computer Interface (BCI) signals possessed from Electro- EncephaloGraphy (EEG) to bring out a relationship between a person’s mind condition and a computer employed signal processing system that illustrates the EEG signals. A Radial basic function framework for machine learning is used here for the linear discriminant analysis of EEG data. Based on the Radial Basic Function’s (RBF) the output an intended mental task can be performed.
KEYWORDS:
Brain Computer Interface (BCI), Radial basic function (RBF), Electro-EncephaloGraphy (EEG), Neural Networks, Neuron’s, Fast Fourier Transforms (FFT).
Cite:
D. Ravikumar, V. Devi, Arun Raaza. Development of Brain Computer Interface, using Neural Network. Research J. Pharm. and Tech 2018; 11(10): 4397-4400.
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