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SIGNAL PROCESSING AND MACHINE LEARNING BASED AUTOMATED CLASSIFICATION OF MENTAL, MOTOR AND IDLE IMAGERIES

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posted on 2022-02-03, 17:02 authored by Chandra Hasa JillaChandra Hasa Jilla, Avinash DarruAvinash Darru, Raghu Ram BodaRaghu Ram Boda
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.

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Email Address of Submitting Author

jillachandrahasa@gmail.com

ORCID of Submitting Author

0000-0003-4621-0997

Submitting Author's Institution

Sreenidhi Institute of Science and Technology

Submitting Author's Country

  • India

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    Keywords

    EEG activityfNIRS signalsBCI systems

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    CC BY 4.0

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