International Journal of Soft Computing And Artificial Intelligence (IJSCAI)
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Volume-7,Issue-2  ( Nov, 2019 )
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Oct. 2020
Submitted Papers : 80
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  Journal Paper

Paper Title
Eye Blink Controlled Robot Using EEG Technology

Abstract
This paper describes a brain controlled robot based on Brain–computer interfaces (BCI). BCIs are systems that can bypass conventional channels of communication (i.e., muscles and thoughts) to provide direct communication and control between the human brain and physical devices by translating different patterns of brain activity into commands in real time, with these commands a mobile robot can be controlled. In this paper the brain wave signals are analyzed and on the basis of Eye-Blink counts, the direction of the robot is controlled. The basic idea of BCI is to translate user produced patterns of brain activity into corresponding commands. A typical BCI is composed of signal acquisition and signal processing (including pre-processing, feature extraction and classification). Keywords - Signal Acquisition, Feature Extraction, BCI, EEG


Author - Abdul Lateef Haroon P.S, U.Eranna, Ulaganathan J., Raymond Irudayaraj I

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| Published on 2017-06-14
   
   
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