Development of wireless brain computer interface with embedded multitask scheduling and its application on real-time driver's drowsiness detection and warning.
Biomedical signal monitoring systems have been rapidly advanced with electronic and information technologies in recent years. However, most of the existing physiological signal monitoring systems can only record the signals without the capability of automatic analysis. In this paper, we proposed a novel brain-computer interface (BCI) system that can acquire and analyze electroencephalogram (EEG) signals in real-time to monitor human physiological as well as cognitive states, and, in turn, provide warning signals to the users when needed. The BCI system consists of a four-channel biosignal acquisition/amplification module, a wireless transmission module, a dual-core signal processing unit, and a host system for display and storage. The embedded dual-core processing system with multitask scheduling capability was proposed to acquire and process the input EEG signals in real time. In addition, the wireless transmission module, which eliminates the inconvenience of wiring, can be switched between radio frequency (RF) and Bluetooth according to the transmission distance. Finally, the real-time EEG-based drowsiness monitoring and warning algorithms were implemented and integrated into the system to close the loop of the BCI system. The practical online testing demonstrates the feasibility of using the proposed system with the ability of real-time processing, automatic analysis, and online warning feedback in real-world operation and living environments.
Lin
Chin-Teng
CT
Brain Research Center, Department of Electrical and Computer Engineering, National Chiao-Tung University, Hsinchu 300, Taiwan, ROC. ctlin@mail.nctu.edu.tw
Chen
Yu-Chieh
YC
Huang
Teng-Yi
TY
Chiu
Tien-Ting
TT
Ko
Li-Wei
LW
Liang
Sheng-Fu
SF
Hsieh
Hung-Yi
HY
Hsu
Shang-Hwa
SH
Duann
Jeng-Ren
JR
D000063:Accidents, Traffic / Q000517:prevention & control; D001334:Automobile Driving; D001921:Brain / Q000502:physiology*; D003199:Computer Systems; D004569:Electroencephalography / Q000295:instrumentation*; D004867:Equipment Design; D019544:Equipment Failure Analysis; D006801:Humans; D018670:Monitoring, Ambulatory / Q000295:instrumentation*; D012894:Sleep Stages / Q000502:physiology*; D013686:Telemetry / Q000295:instrumentation* / Q000379:methods; D014584:User-Computer Interface