Design of the multi-channel electroencephalography-based brain-computer interface with novel dry sensors.
The traditional brain-computer interface (BCI) system measures the electroencephalography (EEG) signals by the wet sensors with the conductive gel and skin preparation processes. To overcome the limitations of traditional BCI system with conventional wet sensors, a wireless and wearable multi-channel EEG-based BCI system is proposed in this study, including the wireless EEG data acquisition device, dry spring-loaded sensors, a size-adjustable soft cap. The dry spring-loaded sensors are made of metal conductors, which can measure the EEG signals without skin preparation and conductive gel. In addition, the proposed system provides a size-adjustable soft cap that can be used to fit user's head properly. Indeed, the results are shown that the proposed system can properly and effectively measure the EEG signals with the developed cap and sensors, even under movement. In words, the developed wireless and wearable BCI system is able to be used in cognitive neuroscience applications.
Institute of Electrical Control Engineering, National Chiao Tung University, Hsinchu 30010, Taiwan. shanglinwu.ece00g@nctu.edu.tw
Shang-Lin
SL
Wu
Lun-De
LD
Liao
Chang-Hong
CH
Liou
Shi-An
SA
Chen
Li-Wei
LW
Ko
Bo-Wei
BW
Chen
Po-Sheng
PS
Wang
Sheng-Fu
SF
Chen
Chin-Teng
CT
Lin
D001767:Blinking; D062207:Brain-Computer Interfaces; D004569:Electroencephalography / Q000295:instrumentation*; D004867:Equipment Design; D006801:Humans; D012815:Signal Processing, Computer-Assisted; D059015:Wireless Technology