TY  - JOUR
PY  - 2009//
TI  - A portable device for real time drowsiness detection using novel active dry electrode system
JO  - Conference proceedings - IEEE engineering in medicine and biology society
A1  - Tsai, Pai-Yuan
A1  - Hu, Weichih
A1  - Kuo, Terry B. J.
A1  - Shyu, Liang-Yu
SP  - 3775
EP  - 3778
VL  - 2009
IS  - 
N2  - Electroencephalogram (EEG) signals give important information about the vigilance states of a subject. Therefore, this study constructs a real-time EEG-based system for detecting a drowsy driver. The proposed system uses a novel six channels active dry electrode system to acquire EEG non-invasively. In addition, it uses a TMS320VC5510 DSP chip as the algorithm processor, and a MSP430F149 chip as a controller to achieve a real-time portable system. This study implements stationary wavelet transform to extract two features of EEG signal: integral of EEG and zero crossings as the input to a back propagation neural network for vigilance states classification. This system can discriminate alertness and drowsiness in real-time. The accuracy of the system is 79.1% for alertness and 90.91% for drowsiness states. When the system detects drowsiness, it will warn drivers by using a vibrator and a beeper.<p />  <p>Language: en</p>
LA  - en
SN  - 1557-170X
UR  - http://dx.doi.org/10.1109/IEMBS.2009.5334491
ID  - ref1
ER  -