Development of Drowsiness Detection System Based on Respiration Changes Using Heart Rate Monitoring

Shigeyuki Tateno, Xia Guan, Rui Cao, Zhaoxian Qu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

As driver fatigue has become one of the main causes of traffic fatal accidents, more and more scholars are paying more attention to the issue which is related to safety. There are two main types of anti-fatigue driving systems: the first one is to capture driver's face image by camera to estimate the degree of drowsiness based on the change of the image. The second one is to estimate the degree of drowsiness based on the driver's heart rates. This paper develops a system based on heart rate monitoring, which calculates driver's respiration by detecting electrocardiogram, and then infers the driver's drowsiness degree from the respiration changes. Although the system has the disadvantages that is directly contacted with skin and is influenced by the driver's actions, it has lower-cost and higher accuracy than the system that using heart rate directly. After verification experiment, the system is confirmed to have the ability to determine the driver's drowsiness effectively. Hence, the system has contribution to solve the driver fatigue problems.

Original languageEnglish
Title of host publication2018 57th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1664-1669
Number of pages6
ISBN (Electronic)9784907764609
DOIs
Publication statusPublished - 2018 Oct 15
Event57th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2018 - Nara, Japan
Duration: 2018 Sep 112018 Sep 14

Other

Other57th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2018
CountryJapan
CityNara
Period18/9/1118/9/14

Keywords

  • Anti-fatigue driving system
  • Driver fatigue
  • Electrocardiogram Sensors
  • Heart rate

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Control and Optimization
  • Instrumentation

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  • Cite this

    Tateno, S., Guan, X., Cao, R., & Qu, Z. (2018). Development of Drowsiness Detection System Based on Respiration Changes Using Heart Rate Monitoring. In 2018 57th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2018 (pp. 1664-1669). [8492599] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/SICE.2018.8492599