文章基本信息

标题：Detection of Driver's Anomaly Behavior Using Wireless 3D-Accelerometers
本地全文：下载
作者：Masahiro Tada ; Futoshi Naya ; Masaya Okada 等
期刊名称：人工知能学会論文誌
印刷版ISSN：1346-0714
电子版ISSN：1346-8030
出版年度：2008
卷号：23
期号：3
页码：105-116
DOI：10.1527/tjsai.23.105
出版社：The Japanese Society for Artificial Intelligence
摘要：In this paper, we propose a method for directly measuring and analyzing driving behavior using wireless 3D-accelerometers. Whereas existing systems installed many sensors into a specially equipped test vehicle to indirectly measure driving behaviors, our method uses wireless 3D-accelerometers attached to a driver for directly measuring his/her behaviors in a vehicle. After applying independent component analysis (ICA) to reduce car-caused noise, our method detects anomalies in driving behaviors using one-class SVM. By directly measuring driving behavior, our method allows to point out anomalies in driving behaviors characteristics to novice drivers with precision of 71.1% and recall of 73.9%.
关键词：Driving Behavior Analysis ; Wireless Accelerometer ; Anomaly Detection ; Independent Component Analysis ; One-Class SVM