運転開始前後の生体情報を用いたドライバ覚醒度低下状態の早期予測

カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2013/12/02

タイトル(英語): Early Prediction of the Driver's Low Arousal State Using the Biological Information before and while Driving

著者名: 早田　有利（愛知県立大学 情報科学部），河中　治樹（愛知県立大学 情報科学部），小栗　宏次（愛知県立大学 情報科学部）

著者名(英語): Yuto Hayata (School of Information Science and Technology, Aichi Prefectural University), Haruki Kawanaka (School of Information Science and Technology, Aichi Prefectural University), Koji Oguri (School of Information Science and Technology, Aichi Prefectural University)

キーワード: ドライバモニタリング，生体情報，乗車前，早期予測，重回帰分析　　Driver monitoring，Biological information，Before driving，Early prediction，Multiple linear regression analysis

要約(英語): Many studies about estimating drivers' state while driving have been done so far. Now, people pay attention to not only estimation, but prediction of the drivers' state while driving in recent years. In this study, we proposed a method to predict the low arousal state early by using indexes which we could collect before the driver started to drive and also even the indexes which we could collect immediately after the driver started to drive. We simulated the before driving condition by control the drivers' sleeping hours. We used multiple linear regression to predict a time when the driver reaches the critical drowsiness level based on the biological information, vehicle operating information, and ability checks collected before and also while driving. As a result, our proposed method demonstrated the possibility to predict a time when the driver reaches the critical drowsiness level.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.133 No.12 （2013） 特集：電気関係学会東海支部連合大会

本誌掲載ページ: 2160-2166 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/133/12/133_2160/_article/-char/ja/