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 journalArticlepeer-review

56 Citations (Scopus)


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 languageEnglish
Article number5629369
Pages (from-to)19-25
Number of pages7
JournalIEEE Transactions on Information Technology in Biomedicine
Issue number1
Publication statusPublished - 2011 Jan
Externally publishedYes


  • 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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