Two barriers of using EEG and HRV to evaluate operator functional state in maritime simulator operations

[Speaker] Wu, Yanbin:1
[Co-author] Miwa, Takashi:1, Uchida, Makoto:1
1:Kobe University (Japan)

In human machine systems where the risk of accident is closely related to human component such as in maritime operation, it is crucial to maintain an optimal Operator Functional State (OFS). Low-cost physiological sensors, including heart beat sensor and electroencephalogram (EEG) are widely used in evaluation of OFS. Two main barriers that restrict those applications in practical environment were studied. Firstly, the ceiling effect of physiological features affects the accuracy of classification between boring and extremely stressful state. This effect was found in 4 out of 10 subjects participating in an experiment consisted of two types of tasks. Secondly, EEG signal is very sensitive to the relative motion between electrodes and brain skin, therefore body movement and oral communication inevitably induce artifacts. In addition to an effect on time domain data, frequency bands of below 20 Hz were also found contaminated. A linear model was found effective eliminating speaking artifact.
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