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Main Title: Brain-Switches for Asynchronous Brain−Computer Interfaces: A Systematic Review
Author(s): Han, Chang-Hee
Müller, Klaus-Robert
Hwang, Han-Jeong
Type: Article
Language Code: en
Abstract: A brain–computer interface (BCI) has been extensively studied to develop a novel communication system for disabled people using their brain activities. An asynchronous BCI system is more realistic and practical than a synchronous BCI system, in that, BCI commands can be generated whenever the user wants. However, the relatively low performance of an asynchronous BCI system is problematic because redundant BCI commands are required to correct false-positive operations. To significantly reduce the number of false-positive operations of an asynchronous BCI system, a two-step approach has been proposed using a brain-switch that first determines whether the user wants to use an asynchronous BCI system before the operation of the asynchronous BCI system. This study presents a systematic review of the state-of-the-art brain-switch techniques and future research directions. To this end, we reviewed brain-switch research articles published from 2000 to 2019 in terms of their (a) neuroimaging modality, (b) paradigm, (c) operation algorithm, and (d) performance.
Issue Date: 2-Mar-2020
Date Available: 12-May-2020
DDC Class: 005 Computerprogrammierung, Programme, Daten
Subject(s): brain-switch
brain–computer interface
near-infrared spectroscopy
Journal Title: Electronics
Publisher: MDPI
Publisher Place: Basel
Volume: 9
Issue: 3
Article Number: 422
Publisher DOI: 10.3390/electronics9030422
EISSN: 2079-9292
Appears in Collections:FG Maschinelles Lernen » Publications

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