Wireless-based portable EEG-EOG Monitoring for real time drowsiness detection. Paper presented at the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBC, Osaka, Japan, 3-7 July 2013.
20210161 ST [electronic version only]
Arnin, J. Anopas, D. Horapong, M. Triponyuwasi, P. Yamsa-ard, T. Iampetch, S. & Wongsawat, Y.
In: Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBC, Osaka, Japan, 3-7 July 2013, P. 4977-4980, 14 ref.
|Samenvatting||Drowsiness is one of the major risk factors causing accidents that result in a large number of damage. Drivers and industrial workers probably have a large effect on several mishaps occurring from drowsiness. Therefore, advanced technology to reduce these accidental rates is a very challenging problem. Nowadays, there have been many drowsiness detectors using electroencephalogram (EEG), however, the cost is still high and the use of this is uncomfortable in long-term monitoring because most of them require wiring and conventional wet electrodes. The purpose of this paper is to develop a portable wireless device that can automatically detect the drowsiness in real time by using the EEG and electrooculogram (EOG). The silver (Ag) conducting fabric consolidated in a headband used as dry electrodes can acquire signal from the user's forehead. The signal was sent via the wireless communication of XBee® 802.15.4 to a standalone microcontroller to analyze drowsiness using the proposed algorithm. The alarm will ring when the drowsiness occurs. Besides, the automatic drowsiness detection and alarm device yields the real-time detection accuracy of approximately 81%. (Author/publisher)|
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