Automatic evaluation system of driving skill using wearable sensors for personalized safe driving lecture

Masahiro Tada, Haruo Noma, Akira Utsumi, Masaya Okada, Kazumi Renge

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

2 Citations (Scopus)

Abstract

In this paper, we propose an automatic evaluation system of safe driving skill for personalized driving lecture. Our system use small wireless wearable sensors to directly measure drivers' behavior without giving much stress. By using the sensors together with GPS and driving instructors' knowledge, our system automatically evaluate drivers' safe driving skill. Through experiment in real traffic condition, we have confirmed that our system can point out shortcomings in driving skill with accuracy of over 80%. As the next step, we have applied our system into a driving school and have performed large-scale demonstrational experiment of personalized safe driving lecture. Questionnaire result shows that our system works well as an effective support tool for personalized driving lecture.

Original languageEnglish
Title of host publicationProceedings of the IADIS International Conference Mobile Learning 2012, ML 2012
EditorsPedro Isaias, Inmaculada Arnedillo Sanchez, Luis Rodrigues
PublisherIADIS
Pages173-180
Number of pages8
ISBN (Electronic)9789728939663
Publication statusPublished - Jan 1 2012
Externally publishedYes
EventIADIS International Conference on Mobile Learning 2012, ML 2012 - Berlin, Germany
Duration: Mar 11 2012Mar 13 2012

Other

OtherIADIS International Conference on Mobile Learning 2012, ML 2012
CountryGermany
CityBerlin
Period3/11/123/13/12

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Science Applications
  • Hardware and Architecture
  • Information Systems

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