Title :
Noninvasive Biological Sensor System for Detection of Drunk Driving
Author :
Murata, Kohji ; Fujita, Etsunori ; Kojima, Shigeyuki ; Maeda, Shinitirou ; Ogura, Yumi ; Kamei, Tsutomu ; Tsuji, Toshio ; Kaneko, Shigehiko ; Yoshizumi, Masao ; Suzuki, Nobutaka
Author_Institution :
Dept. of Mol. Reproductive Biol., Kanazawa Univ., Ishikawa, Japan
Abstract :
Systems capable of monitoring the biological condition of a driver and issuing warnings during instances of drowsiness have recently been studied. Moreover, many researchers have reported that biological signals, such as brain waves, pulsation waves, and heart rate, are different between people who have and have not consumed alcohol. Currently, we are developing a noninvasive system to detect individuals driving under the influence of alcohol by measuring biological signals. We used the frequency time series analysis to attempt to distinguish between normal and intoxicated states of a person as the basis of the sensing system.
Keywords :
biological techniques; biomedical measurement; brain; cognition; gas sensors; medical signal detection; neurophysiology; pneumodynamics; time series; air-pack sensor; biological condition monitoring; biological signals; body-trunk plethysmogram; brain waves; drowsiness; drunk driving detection; frequency time series analysis; heart rate; intoxicated person; noninvasive biological sensor system; psychological condition; pulsation waves; respiration; signal analysis; Biology; Driver circuits; Fluctuations; Time frequency analysis; Time measurement; Time series analysis; Biological signal; driver behavior; drunk driving; safety; time series analysis; Alcoholic Intoxication; Algorithms; Automobile Driving; Breath Tests; Dangerous Behavior; Female; Humans; Male; Monitoring, Physiologic; Plethysmography; Signal Processing, Computer-Assisted; Time Factors; Young Adult;
Journal_Title :
Information Technology in Biomedicine, IEEE Transactions on
DOI :
10.1109/TITB.2010.2091646