Open Access
Gaming control using a wearable and wireless EEG-based brain-computer interface device with novel dry foam-based sensors
Lun-De Liao
1, 2
,
Chi-Yu Chen
2, 3
,
I-Jan Wang
2
,
Sheng-Fu Chen
4
,
Shih Yu Li
2
,
Bo-Wei Chen
1
,
Jyh-Yeong Chang
1
,
Chin-Teng Lin
1, 2, 3
4
Division of Medical Engineering Research, National Health Research Institutes, Taiwan
|
Publication type: Journal Article
Publication date: 2012-01-28
scimago Q1
wos Q1
SJR: 1.287
CiteScore: 9.4
Impact factor: 5.2
ISSN: 17430003
PubMed ID:
22284235
Health Informatics
Rehabilitation
Abstract
A brain-computer interface (BCI) is a communication system that can help users interact with the outside environment by translating brain signals into machine commands. The use of electroencephalographic (EEG) signals has become the most common approach for a BCI because of their usability and strong reliability. Many EEG-based BCI devices have been developed with traditional wet- or micro-electro-mechanical-system (MEMS)-type EEG sensors. However, those traditional sensors have uncomfortable disadvantage and require conductive gel and skin preparation on the part of the user. Therefore, acquiring the EEG signals in a comfortable and convenient manner is an important factor that should be incorporated into a novel BCI device. In the present study, a wearable, wireless and portable EEG-based BCI device with dry foam-based EEG sensors was developed and was demonstrated using a gaming control application. The dry EEG sensors operated without conductive gel; however, they were able to provide good conductivity and were able to acquire EEG signals effectively by adapting to irregular skin surfaces and by maintaining proper skin-sensor impedance on the forehead site. We have also demonstrated a real-time cognitive stage detection application of gaming control using the proposed portable device. The results of the present study indicate that using this portable EEG-based BCI device to conveniently and effectively control the outside world provides an approach for researching rehabilitation engineering.
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Metrics
196
Total citations:
196
Citations from 2024:
24
(12.24%)
Cite this
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RIS |
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GOST
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Liao L. et al. Gaming control using a wearable and wireless EEG-based brain-computer interface device with novel dry foam-based sensors // Journal of NeuroEngineering and Rehabilitation. 2012. Vol. 9. No. 1. 5
GOST all authors (up to 50)
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Liao L., Chen C., Wang I., Chen S., Li S. Yu., Chen B., Chang J., Lin C. Gaming control using a wearable and wireless EEG-based brain-computer interface device with novel dry foam-based sensors // Journal of NeuroEngineering and Rehabilitation. 2012. Vol. 9. No. 1. 5
Cite this
RIS
Copy
TY - JOUR
DO - 10.1186/1743-0003-9-5
UR - https://doi.org/10.1186/1743-0003-9-5
TI - Gaming control using a wearable and wireless EEG-based brain-computer interface device with novel dry foam-based sensors
T2 - Journal of NeuroEngineering and Rehabilitation
AU - Liao, Lun-De
AU - Chen, Chi-Yu
AU - Wang, I-Jan
AU - Chen, Sheng-Fu
AU - Li, Shih Yu
AU - Chen, Bo-Wei
AU - Chang, Jyh-Yeong
AU - Lin, Chin-Teng
PY - 2012
DA - 2012/01/28
PB - Springer Nature
IS - 1
VL - 9
PMID - 22284235
SN - 1743-0003
ER -
Cite this
BibTex (up to 50 authors)
Copy
@article{2012_Liao,
author = {Lun-De Liao and Chi-Yu Chen and I-Jan Wang and Sheng-Fu Chen and Shih Yu Li and Bo-Wei Chen and Jyh-Yeong Chang and Chin-Teng Lin},
title = {Gaming control using a wearable and wireless EEG-based brain-computer interface device with novel dry foam-based sensors},
journal = {Journal of NeuroEngineering and Rehabilitation},
year = {2012},
volume = {9},
publisher = {Springer Nature},
month = {jan},
url = {https://doi.org/10.1186/1743-0003-9-5},
number = {1},
pages = {5},
doi = {10.1186/1743-0003-9-5}
}