A real-time thinking state monitoring system for plant operation

被引：0
|
作者：
Kurooka, T [1 ]
Yamakawa, M [1 ]
Yamashita, Y [1 ]
Nishitani, H [1 ]
机构：
[1] Nara Inst Sci Technol, Grad Sch Informat Sci, Nara 6300101, Japan
来源：
HUMAN-COMPUTER INTERACTION - INTERACT'01 | 2001年
关键词：
plant operation; thinking state monitoring; physiological measurements; human interface; operation support system;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We have developed a real-time thinking state monitoring (RTSM) system for plant operation. First, the conception of plant operation with RTSM is proposed. Second, an estimation method of an operator's thinking state is reviewed. A nonlinear neural-network (NN) model and a linear regression model are applied as the estimation model. Third, the estimation method is experimentally evaluated by off-line analysis. It is confirmed that the NN model has some advantages. Finally, a prototype RTSM system with the NN model is developed and experimentally evaluated. The effectiveness is shown using mathematics problem solving.
引用
收藏
页码：609 / 616
页数：8
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