Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Brain-computer interfacing under distraction: an evaluation study

Authors
Brandl, StephanieFrolich, LauraHoehne, JohannesMueller, Klaus-RobertSamek, Wojciech
Issue Date
10월-2016
Publisher
IOP PUBLISHING LTD
Keywords
brain-computer interfacing; common spatial patterns; nonstationarity; robustness
Citation
JOURNAL OF NEURAL ENGINEERING, v.13, no.5
Indexed
SCIE
SCOPUS
Journal Title
JOURNAL OF NEURAL ENGINEERING
Volume
13
Number
5
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/87271
DOI
10.1088/1741-2560/13/5/056012
ISSN
1741-2560
Abstract
Objective. While motor-imagery based brain-computer interfaces (BCIs) have been studied over many years by now, most of these studies have taken place in controlled lab settings. Bringing BCI technology into everyday life is still one of the main challenges in this field of research. Approach. This paper systematically investigates BCI performance under 6 types of distractions that mimic out-of-lab environments. Main results. We report results of 16 participants and show that the performance of the standard common spatial patterns (CSP) + regularized linear discriminant analysis classification pipeline drops significantly in this 'simulated' out-of-lab setting. We then investigate three methods for improving the performance: (1) artifact removal, (2) ensemble classification, and (3) a 2-step classification approach. While artifact removal does not enhance the BCI performance significantly, both ensemble classification and the 2-step classification combined with CSP significantly improve the performance compared to the standard procedure. Significance. Systematically analyzing out-of-lab scenarios is crucial when bringing BCI into everyday life. Algorithms must be adapted to overcome nonstationary environments in order to tackle real-world challenges.
Files in This Item
There are no files associated with this item.
Appears in
Collections
Graduate School > Department of Artificial Intelligence > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetrics

Total Views & Downloads

BROWSE