Noninvasive biological sensor system for detection of drunk driving

Kohji Murata; Etsunori Fujita; Shigeyuki Kojima; Shinitirou Maeda; Yumi Ogura; Tsutomu Kamei; Toshio Tsuji; Shigehiko Kaneko; Masao Yoshizumi; Nobutaka Suzuki

doi:10.1109/TITB.2010.2091646

Noninvasive biological sensor system for detection of drunk driving

Kohji Murata^*, Etsunori Fujita, Shigeyuki Kojima, Shinitirou Maeda, Yumi Ogura, Tsutomu Kamei, Toshio Tsuji, Shigehiko Kaneko, Masao Yoshizumi, Nobutaka Suzuki

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

56 Citations (Scopus)

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.

Original language	English
Article number	5629369
Pages (from-to)	19-25
Number of pages	7
Journal	IEEE Transactions on Information Technology in Biomedicine
Volume	15
Issue number	1
DOIs	https://doi.org/10.1109/TITB.2010.2091646
Publication status	Published - 2011 Jan
Externally published	Yes

Keywords

Biological signal
driver behavior
drunk driving
safety
time series analysis

ASJC Scopus subject areas

Biotechnology
Computer Science Applications
Electrical and Electronic Engineering

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10.1109/TITB.2010.2091646

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title = "Noninvasive biological sensor system for detection of drunk driving",

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 signal, driver behavior, drunk driving, safety, time series analysis",

author = "Kohji Murata and Etsunori Fujita and Shigeyuki Kojima and Shinitirou Maeda and Yumi Ogura and Tsutomu Kamei and Toshio Tsuji and Shigehiko Kaneko and Masao Yoshizumi and Nobutaka Suzuki",

note = "Funding Information: Manuscript received April 29, 2010; revised October 14, 2010; accepted November 1, 2010. Date of publication November 11, 2010; date of current version January 4, 2011. This work was supported in part by the Fundamental Research Promotion Program in the Field of Transportation (2004-02) of Japan Railway Construction, Transport and Technology Agency (JRTT).",

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AU - Murata, Kohji

AU - Fujita, Etsunori

AU - Kojima, Shigeyuki

AU - Maeda, Shinitirou

AU - Ogura, Yumi

AU - Kamei, Tsutomu

AU - Tsuji, Toshio

AU - Kaneko, Shigehiko

AU - Yoshizumi, Masao

AU - Suzuki, Nobutaka

N1 - Funding Information: Manuscript received April 29, 2010; revised October 14, 2010; accepted November 1, 2010. Date of publication November 11, 2010; date of current version January 4, 2011. This work was supported in part by the Fundamental Research Promotion Program in the Field of Transportation (2004-02) of Japan Railway Construction, Transport and Technology Agency (JRTT).

PY - 2011/1

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N2 - 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.

AB - 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.

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KW - driver behavior

KW - drunk driving

KW - safety

KW - time series analysis

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Noninvasive biological sensor system for detection of drunk driving

Abstract

Keywords

ASJC Scopus subject areas

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