脑机接口不同技术的性能分析

2013 INTERNATIONAL CONFERENCE ON COMPUTING, ELECTRICAL AND ELECTRONIC ENGINEERING (ICCEEE) Pub Date : 2013-10-17 DOI:10.1109/ICCEEE.2013.6634031

M. R. Hasan, M. Ibrahimy, S. Motakabber

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引用次数: 1

摘要

近年来对不同类型脑机接口(BCI)及其性能分析的研究为其应用提供了一些显著的特点。这项工作的目的是比较不同类型的脑机接口的准确性，以找出合适的技术。研究表明，各技术性能与脑机接口类型有关。人工神经网络为BCI系统提供了更好的性能支持。

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Performance analysis of different techniques for Brain Computer Interfacing

Recent works on different types of Brain Computer Interface (BCI) and their performance analysis have provided some remarkable features for applications. The aim of this work is to compare the accuracies of different types of BCI to find out the suitable techniques. The study shows that each technique performance depends on the type of BCI. A batter performance of the BCI systems is supported by the artificial neural network.

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2013 INTERNATIONAL CONFERENCE ON COMPUTING, ELECTRICAL AND ELECTRONIC ENGINEERING (ICCEEE)

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