Mind state estimation in logical thinking jobs

When a human logically solves a mathematics problem or a general problem, the state of thinking in the brain will change according to the level of difficulty and familiarity of the problem. In this research, we have tried to define the mind state in logical thinking jobs and measure the level of the state with electroencephalograms (EEGs). First, three basic modes were defined based on typical states of logical thinking. Second, this classification was validated by cluster analysis. Third, a linear regression model was developed to indicate the thinking state of a plant operator. Lastly, it was verified by experiments that the model gives useful information for estimating a human´s thinking state