ID 105977
Title Transcription
ドライバ ノ ウンテン ドウサ ニ モトズク コジン トクセイ オ コウリョ シタ キケン ウンテン ヨソク システム ノ コウチク
Title Alternative
A Development of Risky Driving Prediction System Based on Driving Behaviors and individual differences
Author
Ito, Momoyo Institute of Technology and Science, The University of Tokushima Tokushima University Educator and Researcher Directory KAKEN Search Researchers
Ito, Shin-ichi Institute of Technology and Science, The University of Tokushima Tokushima University Educator and Researcher Directory KAKEN Search Researchers
Keywords
driving assistance system
SOMs
Fuzzy ART
EEG analysis
individual characteristics
Content Type
Departmental Bulletin Paper
Description
Many car accidents are caused by driver’s deviation from normal condition like carelessness. We aim to construct a driving assist system that is able to detect driver’s deviation signal from normal condition. The system detects the deviation signal using driver’s time-series head motion information. In this paper, we optimize categorization of driver’s head motion using two kinds of unsupervised neural networks: Self-Organizing Maps (SOMs) and Fuzzy Adaptive Resonance Theory. Moreover, we introduce a method to analyze an individual difference in an electroencephalogram (EEG) using a SOM. In order to confirm the individual difference in the EEG, we conduct experiments using real EEG data. The experimental results suggest that it is possible to express the individual difference using SOM.
Journal Title
徳島大学大学院ソシオテクノサイエンス研究部研究報告
ISSN
21859094
NCID
AA12214889
Volume
58
Start Page
33
End Page
41
Sort Key
33
Published Date
2013
FullText File
language
jpn
TextVersion
Publisher
departments
Science and Technology