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Operator functional state estimation based on EEG-data-driven fuzzy model |
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| Authors: | Jianhua Zhang Zhong Yin Shaozeng Yang Rubin Wang |
| Institution: | 1.Department of Automation,East China University of Science and Technology,Shanghai,People’s Republic of China;2.Engineering Research Center of Optical Instrument and System, Ministry of Education,University of Shanghai for Science and Technology,Shanghai,People’s Republic of China;3.Institute of Cognitive Neurodynamics,East China University of Science and Technology,Shanghai,People’s Republic of China |
| Abstract: | This paper proposed a max–min-entropy-based fuzzy partition method for fuzzy model based estimation of human operator functional state (OFS). The optimal number of fuzzy partitions for each I/O variable of fuzzy model is determined by using the entropy criterion. The fuzzy models were constructed by using Wang–Mendel method. The OFS estimation results showed the practical usefulness of the proposed fuzzy modeling approach. |
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