DocumentCode :
3206596
Title :
Portable, wireless drowsiness-detection system
Author :
Chae, Moo Sung
Author_Institution :
Dept. of Electr. Eng., Univ. of California at Santa Cruz, Santa Cruz, CA, USA
fYear :
2012
fDate :
5-8 Aug. 2012
Firstpage :
762
Lastpage :
765
Abstract :
This paper presents an EEG-based portable drowsiness-detection system for vehicle drivers. The system has a wireless recording unit without tether wires and employs a fast ICA-based detection algorithm to separate psychophysiological signals from motion artifacts of the driver. The system is implemented and tested on both benchtop and human subjects. The experimental results show that the proposed system can detect a driver´s drowsiness with minimal inconvenience to the driver.
Keywords :
biomedical equipment; electroencephalography; independent component analysis; medical signal detection; medical signal processing; portable instruments; source separation; EEG-based portable drowsiness-detection system; fast ICA-based detection algorithm; motion artifacts; portable wireless drowsiness-detection system; psychophysiological signals; vehicle drivers; wireless recording unit; Electrodes; Electroencephalography; Frequency shift keying; Humans; Receivers; Vehicles; Wireless communication;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems (MWSCAS), 2012 IEEE 55th International Midwest Symposium on
Conference_Location :
Boise, ID
ISSN :
1548-3746
Print_ISBN :
978-1-4673-2526-4
Electronic_ISBN :
1548-3746
Type :
conf
DOI :
10.1109/MWSCAS.2012.6292132
Filename :
6292132
Link To Document :
بازگشت