Mind state estimation for operator support

Taketoshi Kurooka*, Yuh Yamashita, Hirokazu Nishitani

*この論文の責任著者

研究成果: ジャーナルへの寄稿会議記事査読

12 被引用数 (Scopus)

抄録

We have developed a method to estimate a plant operator's thinking state during abnormal situations. The operator's thinking state is estimated from EEG data. First, three basic modes were defined according to the typical thinking state of a plant operator at the time of a malfunction. Second, experiments were performed to evoke the basic modes. Third, a nonlinear model was developed to estimate the thinking state of a plant operator. Finally, the estimation method was applied to a subject who operated a boiler plant simulator under abnormal circumstances. It was verified that the method gives useful information for estimating the plant operator's thinking state. (C) 2000 Elsevier Science Ltd.

本文言語英語
ページ(範囲)551-556
ページ数6
ジャーナルComputers and Chemical Engineering
24
2-7
DOI
出版ステータス出版済み - 2000/07/15
イベント7th International Symposium on Process Systems Engineering - Keystone, CO, USA
継続期間: 2000/07/162000/07/21

ASJC Scopus 主題領域

  • 化学工学一般
  • コンピュータ サイエンスの応用

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