Title :
Portable, wireless drowsiness-detection system
Author_Institution :
Dept. of Electr. Eng., Univ. of California at Santa Cruz, Santa Cruz, CA, USA
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;
Conference_Titel :
Circuits and Systems (MWSCAS), 2012 IEEE 55th International Midwest Symposium on
Conference_Location :
Boise, ID
Print_ISBN :
978-1-4673-2526-4
Electronic_ISBN :
1548-3746
DOI :
10.1109/MWSCAS.2012.6292132