Proposal for driver distraction indexes using biological signals

Michiko Ohkura, Kazuma Uchiumi, Yukou Saito, Koyo Hasegawa

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

2 Citations (Scopus)

Abstract

According to the AAA Foundation for Traffic Safety, driver inattention is a major contributor to highway accidents. Driver distraction is one form of inattention and a leading factor in most vehicle crashes and near crashes. Distraction occurs when a driver is delayed in the recognition of information needed to safely accomplish the driving task because some event, activity, object, or person within or outside the vehicle compels or induces the driver attention away from the driving task. Although some indexes of driving performance have measured distraction, they are the results of the distraction and not the distraction itself. We directly and quantitatively employ biological signals to measure the distraction by finding useful biological indexes from candidates of various biological signals. Our experimental results using a driving simulator showed useful indexes derived from EEG and ECG.

Original languageEnglish
Title of host publicationProceedings of the ASME Design Engineering Technical Conference
Pages603-610
Number of pages8
Volume2
EditionPARTS A AND B
DOIs
Publication statusPublished - 2012
EventASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2012 - Chicago, IL
Duration: 2012 Aug 122012 Aug 12

Other

OtherASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2012
CityChicago, IL
Period12/8/1212/8/12

Fingerprint

Highway accidents
Electroencephalography
Electrocardiography
Simulators

ASJC Scopus subject areas

  • Mechanical Engineering
  • Computer Graphics and Computer-Aided Design
  • Computer Science Applications
  • Modelling and Simulation

Cite this

Ohkura, M., Uchiumi, K., Saito, Y., & Hasegawa, K. (2012). Proposal for driver distraction indexes using biological signals. In Proceedings of the ASME Design Engineering Technical Conference (PARTS A AND B ed., Vol. 2, pp. 603-610) https://doi.org/10.1115/DETC2012-70595

Proposal for driver distraction indexes using biological signals. / Ohkura, Michiko; Uchiumi, Kazuma; Saito, Yukou; Hasegawa, Koyo.

Proceedings of the ASME Design Engineering Technical Conference. Vol. 2 PARTS A AND B. ed. 2012. p. 603-610.

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

Ohkura, M, Uchiumi, K, Saito, Y & Hasegawa, K 2012, Proposal for driver distraction indexes using biological signals. in Proceedings of the ASME Design Engineering Technical Conference. PARTS A AND B edn, vol. 2, pp. 603-610, ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2012, Chicago, IL, 12/8/12. https://doi.org/10.1115/DETC2012-70595
Ohkura M, Uchiumi K, Saito Y, Hasegawa K. Proposal for driver distraction indexes using biological signals. In Proceedings of the ASME Design Engineering Technical Conference. PARTS A AND B ed. Vol. 2. 2012. p. 603-610 https://doi.org/10.1115/DETC2012-70595
Ohkura, Michiko ; Uchiumi, Kazuma ; Saito, Yukou ; Hasegawa, Koyo. / Proposal for driver distraction indexes using biological signals. Proceedings of the ASME Design Engineering Technical Conference. Vol. 2 PARTS A AND B. ed. 2012. pp. 603-610
@inproceedings{ebfc96c535cf4a77902d1a702d80eedd,
title = "Proposal for driver distraction indexes using biological signals",
abstract = "According to the AAA Foundation for Traffic Safety, driver inattention is a major contributor to highway accidents. Driver distraction is one form of inattention and a leading factor in most vehicle crashes and near crashes. Distraction occurs when a driver is delayed in the recognition of information needed to safely accomplish the driving task because some event, activity, object, or person within or outside the vehicle compels or induces the driver attention away from the driving task. Although some indexes of driving performance have measured distraction, they are the results of the distraction and not the distraction itself. We directly and quantitatively employ biological signals to measure the distraction by finding useful biological indexes from candidates of various biological signals. Our experimental results using a driving simulator showed useful indexes derived from EEG and ECG.",
author = "Michiko Ohkura and Kazuma Uchiumi and Yukou Saito and Koyo Hasegawa",
year = "2012",
doi = "10.1115/DETC2012-70595",
language = "English",
isbn = "9780791845011",
volume = "2",
pages = "603--610",
booktitle = "Proceedings of the ASME Design Engineering Technical Conference",
edition = "PARTS A AND B",

}

TY - GEN

T1 - Proposal for driver distraction indexes using biological signals

AU - Ohkura, Michiko

AU - Uchiumi, Kazuma

AU - Saito, Yukou

AU - Hasegawa, Koyo

PY - 2012

Y1 - 2012

N2 - According to the AAA Foundation for Traffic Safety, driver inattention is a major contributor to highway accidents. Driver distraction is one form of inattention and a leading factor in most vehicle crashes and near crashes. Distraction occurs when a driver is delayed in the recognition of information needed to safely accomplish the driving task because some event, activity, object, or person within or outside the vehicle compels or induces the driver attention away from the driving task. Although some indexes of driving performance have measured distraction, they are the results of the distraction and not the distraction itself. We directly and quantitatively employ biological signals to measure the distraction by finding useful biological indexes from candidates of various biological signals. Our experimental results using a driving simulator showed useful indexes derived from EEG and ECG.

AB - According to the AAA Foundation for Traffic Safety, driver inattention is a major contributor to highway accidents. Driver distraction is one form of inattention and a leading factor in most vehicle crashes and near crashes. Distraction occurs when a driver is delayed in the recognition of information needed to safely accomplish the driving task because some event, activity, object, or person within or outside the vehicle compels or induces the driver attention away from the driving task. Although some indexes of driving performance have measured distraction, they are the results of the distraction and not the distraction itself. We directly and quantitatively employ biological signals to measure the distraction by finding useful biological indexes from candidates of various biological signals. Our experimental results using a driving simulator showed useful indexes derived from EEG and ECG.

UR - http://www.scopus.com/inward/record.url?scp=84884625179&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84884625179&partnerID=8YFLogxK

U2 - 10.1115/DETC2012-70595

DO - 10.1115/DETC2012-70595

M3 - Conference contribution

AN - SCOPUS:84884625179

SN - 9780791845011

VL - 2

SP - 603

EP - 610

BT - Proceedings of the ASME Design Engineering Technical Conference

ER -