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SIGNAL PROCESSING AND MACHINE LEARNING BASED AUTOMATED CLASSIFICATION OF MENTAL, MOTOR AND IDLE IMAGERIES
  • Chandra Hasa Jilla ,
  • Avinash Darru ,
  • Raghu Ram Boda
Chandra Hasa Jilla
Sreenidhi Institute of Science and Technology

Corresponding Author:[email protected]

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Avinash Darru
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Raghu Ram Boda
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Abstract

We have processed EEG signals of 18 subjects and then classified them into three classes. Our main aim of this project is to implement hybrid BCI system using lightweight data.