TY - JOUR
T1 - Brain-switches for asynchronous brain–computer interfaces
T2 - A systematic review
AU - Han, Chang Hee
AU - Müller, Klaus Robert
AU - Hwang, Han Jeong
N1 - Funding Information:
Funding: This work was supported by an Institute for Information and Communications Technology Planning and Evaluation (IITP) grant funded by the Korea government (No. 2017-0-00451; Development of BCI based Brain and Cognitive Computing Technology for Recognizing User’s Intentions using Deep Learning), by a National Research Foundation of Korea (NRF) grant funded by the Korea Ministry of Science, ICT and Future Planning (MSIP) (No. 2017R1C1B5017909), and by the Ministry of Trade Industry and Energy(MOTIE, Korea), Ministry of Science and ICT(MSIT, Korea), and Ministry of Health and Welfare(MOHW, Korea) under Technology Development Program for AI-Bio-Robot-Medicine Convergence (20001650).
Publisher Copyright:
© 2020 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2020/3/1
Y1 - 2020/3/1
N2 - 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.
AB - 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.
KW - Brain-Computer interface
KW - Brain-switch
KW - Electroencephalography
KW - Near-infrared spectroscopy
UR - http://www.scopus.com/inward/record.url?scp=85083838872&partnerID=8YFLogxK
U2 - 10.3390/electronics9030422
DO - 10.3390/electronics9030422
M3 - Review article
AN - SCOPUS:85083838872
SN - 2079-9292
VL - 9
JO - Electronics (Switzerland)
JF - Electronics (Switzerland)
IS - 3
M1 - 422
ER -