Development of a Wireless Embedded Brain - Computer Interface and Its Application on Drowsiness Detection and Warning
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Abstract
The existing bio-signal monitoring systems are mostly designed for signal recording without the capability of automatic analysis so that their applications are limited. The goal of this paper is to develop a real-time wireless embedded electroencephalogram (EEG) monitoring system that includes multi-channel physiological acquisition, wireless transmission, and an embedded system. The wireless transmission can overcome the inconvenience of wire routing and the embedded multi-task scheduling for the dual-core processing system is developed to realize the real-time processing. The whole system has been applied to detect the driver’s drowsiness for demonstration since drowsiness is considered as a serious cause of many traffic accidents. The electroencephalogram (EEG) features changes from wakefulness to drowsiness are extracted to detect the driver’s drowsiness and an on-line warning feedback module is applied to avoid disasters caused by fatigue.
Keywords
Brain-Computer Interfaces (BCIs) electroencephalogram (EEG) embedded systems real-time wirelessReferences
- 1.Bianchi, L., Babiloni, F., Cincotti, F., Arrivas, M., Bollero, P., Marciani, M.G.: Developing Wearable Bio-Feedback Systems: A General-Purpose Platform. IEEE Transaction on Neural Systems and Rehabilitation Engineering 11, 117–119 (2003)CrossRefGoogle Scholar
- 2.Hsieh, H.Y., Liang, S.F., Ko, L.W., Lin, M., Lin, C.T.: Development of a Real-Time Wireless Embedded Brain Signal Acquisition/Processing System and its Application on Driver’s Drowsiness Estimation, In: Proc. of the 2006 IEEE International Conference on Systems, Man, and Cybernetics (October 8-11, 2006)Google Scholar
- 3.Kobayashi, T., Takahashi, K.: Linux DSP Gateway Specification Rev2.0, Nokia Corporation (November 13, 2003)Google Scholar
- 4.Jane, W.S.L.: Real-Time Systems. Prentice-Hall, Englewood Cliffs (2000)Google Scholar
- 5.Lin, C.T., Wu, R.C., Jung, T.P., Liang, S.F., Huang, T.Y.: Estimating alertness level based on EEG spectrum analysis. EURASIP Journal on Applied Signal Processing 2005(19), 3165–3174 (2005)zbMATHCrossRefGoogle Scholar
- 6.Lin?, C.T., Wu, R.C., Liang, S.F., Chao, W.H., Chen, Y.J., Jung, T.P.: EEG-based drowsiness estimation for safety driving using independent component analysis. IEEE Transactions on Circuits and Systems I 52(12), 2726–2738 (2005)CrossRefGoogle Scholar