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  • 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
  • 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
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