Citation

Arnin J, Anopas D, Horapong M, Triponyuwasi P, Yamsa-Ard T, Iampetch S, Wongsawat Y. Conf. Proc. IEEE Eng. Med. Biol. Soc. 2013; 2013: 4977-4980.

Copyright

(Copyright © 2013, IEEE (Institute of Electrical and Electronics Engineers))

DOI

10.1109/EMBC.2013.6610665

PMID

24110852

Abstract

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%.

Language: en