脑机接口(BCI)性能评价现状及发展趋势

Aparajita Rajoria
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引用次数: 0

摘要

本研究的目的是将一种技术扩展到快速发展的脑机接口分析领域。我们的目标是拓宽对神经生理过程的深入理解,通过将脑电图作为脑机接口的输入方式,这些神经生理过程可能会被超负荷地纳入脑机接口系统。进行这项研究是为了更好地了解人类大脑的神经生理学。这项研究的目的是探讨脑电图作为一种检测心理活动的方法。我们对目前已经实现的基于脑电图的脑机接口系统进行了全面的概述。我们还探讨了脑机接口技术的未来,并通过比较各种特征分类技术的性能来进行评估
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance Evaluation of Current State of Brain Computer Interface (BCI) and its Trends
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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