Brain computer interface: A comprehensive survey

Q2 Psychology Biologically Inspired Cognitive Architectures Pub Date : 2018-10-01 DOI:10.1016/j.bica.2018.10.005

Neha Tiwari, Damodar Reddy Edla, Shubham Dodia, Annushree Bablani

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引用次数: 43

Abstract

The contemporary era demands a progress with respect to manual work or even semi-machine dependence and the desired procession can be provided by Brain Computer Interface (BCI). As the name suggests, BCI is a bridge between the signals that are generated by the thoughts in our brain and the machine that can implement the produced signals into actions. It is a breakthrough invention in the field of brain-mapping science which can adequately help and aid impaired vision, movement, hearing and any damaged functioning of the body that can be thought of as practically. In this paper, a comprehensive survey on the evolution of BCI with a basic introduction of the functioning of the brain has been provided. A detailed extensive revision on the structure of human brain, BCI and its phases, the mechanisms to extract the signals and the algorithms to put the extracted information to use is provided throughout the course of this study. A comparative study of the phases followed by an extensive discussion of the benchmark techniques has been given. The various bottlenecks have been identified and it has been reasoned why most BCI systems remain as mere prototypes. The ongoing research and progress in the field have been studied and detailed in this review.

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脑机接口:综合调查

当今时代要求在手工操作甚至半机器依赖方面取得进步，而脑机接口(BCI)可以提供所需的处理。顾名思义，脑机接口是我们大脑中思想产生的信号和将产生的信号转化为行动的机器之间的桥梁。这是脑图科学领域的一项突破性发明，它可以充分帮助和帮助受损的视觉，运动，听力和任何身体功能受损，可以被认为是实际的。本文对脑机接口的发展进行了全面的综述，并对脑功能进行了基本的介绍。在整个研究过程中，对人类大脑的结构、脑机接口及其阶段、提取信号的机制和将提取的信息使用的算法进行了详细的广泛修订。本文对各阶段进行了比较研究，然后对基准技术进行了广泛的讨论。已经确定了各种瓶颈，并且解释了为什么大多数BCI系统仍然只是原型。本文对该领域的研究现状和进展进行了综述。

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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来源期刊

Biologically Inspired Cognitive Architectures COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCEN-NEUROSCIENCES

CiteScore

3.60

自引率

0.00%

发文量

期刊介绍： Announcing the merge of Biologically Inspired Cognitive Architectures with Cognitive Systems Research. Cognitive Systems Research is dedicated to the study of human-level cognition. As such, it welcomes papers which advance the understanding, design and applications of cognitive and intelligent systems, both natural and artificial. The journal brings together a broad community studying cognition in its many facets in vivo and in silico, across the developmental spectrum, focusing on individual capacities or on entire architectures. It aims to foster debate and integrate ideas, concepts, constructs, theories, models and techniques from across different disciplines and different perspectives on human-level cognition. The scope of interest includes the study of cognitive capacities and architectures - both brain-inspired and non-brain-inspired - and the application of cognitive systems to real-world problems as far as it offers insights relevant for the understanding of cognition. Cognitive Systems Research therefore welcomes mature and cutting-edge research approaching cognition from a systems-oriented perspective, both theoretical and empirically-informed, in the form of original manuscripts, short communications, opinion articles, systematic reviews, and topical survey articles from the fields of Cognitive Science (including Philosophy of Cognitive Science), Artificial Intelligence/Computer Science, Cognitive Robotics, Developmental Science, Psychology, and Neuroscience and Neuromorphic Engineering. Empirical studies will be considered if they are supplemented by theoretical analyses and contributions to theory development and/or computational modelling studies.