一致タイミングスキル評価のための機器操作モデル構造の提案

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: 2017/10/01

タイトル(英語): Study on the Model Structure of Human Machine Operation to Evaluate a Coincident Timing Skill

著者名: 橋本　幸二郎（諏訪東京理科大学），道木　加絵（愛知工業大学），道木　慎二（名古屋大学大学院工学研究科）

著者名(英語): Kohjiro Hashimoto (Tokyo University of Science, Suwa), Kae Doki (Aichi Institute of Technology), Shinji Doki (Graduate School of Engineering, Nagoya University)

キーワード: 人間-機械協調，人間動作モデリング，人間動作予測，時系列信号処理　　Man-Machine cooperation，Modeling of human action，Prediction of human action，Time series signal processing

要約(英語): With an increase in the elderly population, traffic accidents caused by elderly drivers have become an important social issue in Japan. The primary factor of traffic accidents by elderly drivers is a reduction in their driving skill. Therefore, elderly drivers are required by law to conduct regularly a driving aptitude tests in Japan. If the driving skill of the driver is inadequacy, he is subject to punishment, such as driver license revoked. However, there is not appropriate evaluation index of driving skill.We have proposed a modeling method of driving behavior to support one. Proposed driving behavior model is generated based on the actual driving data of driver, and the generated model has some kind of habit and pattern of the driver. Therefore, it is considered that it is possible to evaluate driving skill of driver by analyzing the generated model. According this reason, we aim to propose a modeling method of driving behavior to evaluate driving skill. Here, a coincident timing skill of driver is focused as a driving skill. In the case of driving behavior, the execution timing of driving operations is decided based on the prediction of subsequent change of the outside environment information. The accuracy of this decided execution timing of operation depend on the above prediction is called as the coincident timing skill. In the proposed model, the causality between the situation around a person and operation of driver is modeled by Hidden Markov Model, and timing probability distribution is added to Hidden Markov Model in order to evaluate this coincident timing skill. The timing probability distribution expresses the execution timing of next operation of driver. Therefore, it is possible to detect the information of the coincident timing skill of driver from the timing probability distribution. In the experiment, the controller operation of a radio controlled vehicle is modeled by the proposed method, and the usefulness of the proposed model is examined through some experimental results.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.137 No.10 （2017）

本誌掲載ページ: 1353-1363 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/137/10/137_1353/_article/-char/ja/