Koji Murai, Takayuki Fujita, Kazusuke Maenaka, Kohei Higuchi, Midori Murai
Proceedings - 2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017 1767-1770 2018年12月4日 査読有り
© 2017 IEEE. The evaluation of simulator-based exercise in maritime society depends on specialists who have enough on-board experience like a master and/or a professor of maritime university. That is just subjective evaluation, and the reviewed data is performance of the operated vessel such as own ship course, speed, rudder angle, and their behavior on order, action, and so on. We propose that their inside response (mental workload) is also important data to evaluate their simulator-based exercise using physiological index; moreover, we have found the heart rate variability, facial (nasal) temperature, and saliva are efficient to read their mental workload. However, the evaluation was not real time yet, it is just off-line analysis. The real time data is available that the instructor gives trainee the useful advisements on the spot during the exercise. In this paper, we propose a monitoring system as an evaluation support system for simulator-based exercise using heart rate variability, and we confirm its possibility.