オントロジとSOMを用いた機械操作者の行動分類手法

カテゴリ: 論文誌(論文単位)

グループ名: 【D】産業応用部門

発行日: 2013/03/01

タイトル(英語): Classification of Operator Behaviors Using a Self-Organizing Map and Ontology

著者名: 城所　琢也（東京電機大学大学院未来科学研究科），鈴木　聡（東京電機大学大学院未来科学研究科），五十嵐　洋（東京電機大学電気電子工学科），中田　脩一（東京電機大学理工学部情報システムデザイン学系），小林　春美（東京電機大学理工学部情報システムデザイン学系），安田　哲也（埼玉県立大学）

著者名(英語): Takuya Kidokoro (Department of Robotics and Mechatronics, Tokyo Denki University (TDU)), Satoshi Suzuki (Department of Robotics and Mechatronics, Tokyo Denki University (TDU)), Hiroshi Igarashi (Department of Electrical and Electronic, TDU), Syuichi Nakata (School of Science and Engineering, TDU), Harumi Kobayashi (School of Science and Engineering, TDU), Tetsuya Yasuda (Saitama Prefectual University)

キーワード: 人間支援機械，行動分類，自己組織化マップ，オントロジ　　human assistance system，behavior classification，self-organizing map，ontology

要約(英語): This paper proposes a new approach to the classification of operator behaviors using a self-organizing map (SOM) and ontology. In order to construct the behavior classificator, ontology and Petri net are used to analyze the types of operations. An SOM is used to establish relations between behavior modes and operational states. An experiment was performed using a virtual transportation task simulator to verify the presented approach, and the operator's behavior during machine manipulation was classified on the basis of the time-series data obtained through the experiment. The behaviors classified using the proposed technique were compared with those extracted by human analysis, and it was confirmed that the classification accuracy of the presented method ranged from 30% to 80% (M = 41.2%, SD = 18.9%), whereas average accuracy of human analysis was as low as 29.7%.

本誌: 電気学会論文誌D（産業応用部門誌） Vol.133 No.3 （2013） 特集：産業計測制御全般

本誌掲載ページ: 300-306 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/ieejias/133/3/133_300/_article/-char/ja/