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Evaluation of a Compact Hybrid Brain-Computer Interface System

Authors
Shin, JaeyoungMueller, Klaus-RobertSchmitz, Christoph H.Kim, Do-WonHwang, Han-Jeong
Issue Date
2017
Publisher
HINDAWI LTD
Citation
BIOMED RESEARCH INTERNATIONAL, v.2017
Indexed
SCIE
SCOPUS
Journal Title
BIOMED RESEARCH INTERNATIONAL
Volume
2017
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/132442
DOI
10.1155/2017/6820482
ISSN
2314-6133
Abstract
We realized a compact hybrid brain-computer interface (BCI) system by integrating a portable near-infrared spectroscopy (NIRS) device with an economical electroencephalography (EEG) system. The NIRS array was located on the subjects' forehead, covering the prefrontal area. The EEG electrodes were distributed over the frontal, motor/temporal, and parietal areas. The experimental paradigm involved a Stroop word-picture matching test in combination with mental arithmetic (MA) and baseline (BL) tasks, in which the subjects were asked to perform either MA or BL in response to congruent or incongruent conditions, respectively. We compared the classification accuracies of each of the modalities (NIRS or EEG) with that of the hybrid system. We showed that the hybrid system outperforms the unimodal EEG and NIRS systems by 6.2% and 2.5%, respectively. Since the proposed hybrid system is based on portable platforms, it is not confined to a laboratory environment and has the potential to be used in real-life situations, such as in neurorehabilitation.
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Graduate School > Department of Artificial Intelligence > 1. Journal Articles
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