Performance Evaluation of Current State of Brain Computer Interface (BCI) and its Trends

Authors

  • Aparajita Rajoria
  • Prof. Shivank Soni

DOI:

https://doi.org/10.24113/ijoscience.v8i1.456

Keywords:

BCI, BMI, EEG, EOG, EMG, Stacked deep auto encoder,

Abstract

The goal of this study was to broaden a technique to the rapidly growing field of BCI analysis. The goal was to broaden a deep understanding of the neurophysiological processes that might be overloaded to incorporate a BCI system by focusing in the electroencephalogram as the BCI input modality. The research is being carried out in order to gain a better understanding of the human brain's neurophysiology. The purpose of this research is to look into electroencephalography as a method of detecting mental activity. We present a comprehensive overview of EEG-based BCI systems that have been implemented so far. We also explored the future of BCI technology and evaluated by comparing the performance of various feature classification techniques

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Author Biographies

Aparajita Rajoria

The goal of this study was to broaden a technique to the rapidly growing field of BCI analysis. The goal was to broaden a deep understanding of the neurophysiological processes that might be overloaded to incorporate a BCI system by focusing in the electroencephalogram as the BCI input modality. The research is being carried out in order to gain a better understanding of the human brain's neurophysiology. The purpose of this research is to look into electroencephalography as a method of detecting mental activity. We present a comprehensive overview of EEG-based BCI systems that have been implemented so far. We also explored the future of BCI technology and evaluated by comparing the performance of various feature classification techniques.

Prof. Shivank Soni

Assistant Professor

Department of Computer Science Engineering

Oriental Institute of Science & Technology

Bhopal, Madhya Pradesh, India

References

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Published

01/21/2022

How to Cite

Rajoria, A. ., & Soni, P. S. . (2022). Performance Evaluation of Current State of Brain Computer Interface (BCI) and its Trends. SMART MOVES JOURNAL IJOSCIENCE, 8(1), 9–14. https://doi.org/10.24113/ijoscience.v8i1.456

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Articles