A literature survey on the contemporary methodologies used in brain computer interface for spelling application

Subhadeep Karan
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引用次数: 2

Abstract

Brain computer interface (BCI) is a methodology of utilizing the electrophysiological measures or the electroencephalographic (EEG) activity of the brain function in order to communicate with the exterior world through a non-muscular channel. It has become one of the primarily focussed fields of research that includes challenges for the various fields like Artificial intelligence, Cognitive neuroscience, user interface and signal processing. Spelling can be considered as the first actual BCI application and still remain a big challenge to the community. Generally, for communication application in BCI, this application acts as benchmark. In this survey paper, the focus is on the contemporary tactics used for the spelling words which comprises of methods based on P300, motor imagery and steady state visual evoked potential (SSVEP). This paper also highlights some hurdles in the current BCI spellers and virtual keyboards.
当代脑机接口拼写应用方法的文献综述
脑机接口(BCI)是一种利用脑功能的电生理测量或脑电图(EEG)活动,通过非肌肉通道与外部世界进行交流的方法。它已经成为主要关注的研究领域之一,包括人工智能、认知神经科学、用户界面和信号处理等各个领域的挑战。拼写可以被认为是第一个真正的BCI应用程序,但仍然是社区面临的一大挑战。通常,对于BCI中的通信应用程序,该应用程序作为基准。在这篇调查论文中,重点研究了当代词汇拼写策略,包括基于P300、运动意象和稳态视觉诱发电位(SSVEP)的方法。本文还强调了目前BCI拼写器和虚拟键盘存在的一些障碍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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