ID | 105977 |
タイトルヨミ | 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
|
タイトル別表記 | A Development of Risky Driving Prediction System Based on Driving Behaviors and individual differences
|
著者 | |
キーワード | driving assistance system
SOMs
Fuzzy ART
EEG analysis
individual characteristics
|
資料タイプ |
紀要論文
|
抄録 | 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.
|
掲載誌名 |
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
|
cat書誌ID | AA12214889
|
巻 | 58
|
開始ページ | 33
|
終了ページ | 41
|
並び順 | 33
|
発行日 | 2013
|
フルテキストファイル | |
言語 |
jpn
|
著者版フラグ |
出版社版
|
部局 |
理工学系
|