Evaluating the Influence of Ambient State of a Car on the Cognitive Distracted State of the Driver

Hiroaki Koma, Akira Yoshizawa, Taku Harada, Hirotoshi Iwasaki

研究成果: Conference contribution査読

抄録

To evaluate a car driver's cognitive distraction while driving, the influence of the ambient state of the car is evaluated. In this paper, Support Vector Machines and Random Forests, which are representative machine learning models, are applied to evaluate the cognitive distracted state. As an input data to the machine learning model, in addition to driver biometric information and driving information, ambient information of the car is used. In this study, the ambient information of the car is that of the preceding car and the shape of the road. Experiments using a car driving simulator are then conducted to evaluate the effectiveness of using ambient information of that car.

本文言語English
ホスト出版物のタイトルProceedings of 2018 IEEE 17th International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2018
編集者Newton Howard, Sam Kwong, Yingxu Wang, Jerome Feldman, Bernard Widrow, Phillip Sheu
出版社Institute of Electrical and Electronics Engineers Inc.
ページ387-392
ページ数6
ISBN(電子版)9781538633601
DOI
出版ステータスPublished - 4 10月 2018
イベント17th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2018 - Berkeley, United States
継続期間: 16 7月 201818 7月 2018

出版物シリーズ

名前Proceedings of 2018 IEEE 17th International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2018

Conference

Conference17th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2018
国/地域United States
CityBerkeley
Period16/07/1818/07/18

フィンガープリント

「Evaluating the Influence of Ambient State of a Car on the Cognitive Distracted State of the Driver」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル