Performance Evaluation of Current State of Brain Computer Interface (BCI) and its Trends
DOI:
https://doi.org/10.24113/ijoscience.v8i1.456Keywords:
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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Copyright (c) 2022 Aparajita Rajoria, Prof. Shivank Soni
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