The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
Online ISSN : 2424-3124
2021
Session ID : 2P1-L01
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Proposal of EEG feature for stable and active manipulation EEG games
*Yunosuke ASAMIKodai ITORyota HORIEMitsunori TADA
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Abstract

In this study, we developed an EEG-based MR game based on the hypothesis that games can be made more interesting by reflecting the psychological state read from the EEG. The genre of the game was shooting. We designed the game in such a way that the size of the aim in the game is linked to the EEG feature value, and that focusing increases the EEG feature value and shrinking the aim increases the hit rate. The β/α ratio was used as the EEG feature, and we sought an effective way to introduce the β/α ratio into the game. By setting a threshold value using the average value of the β/α ratio of the subjects, and by performing a moving average process that divided the values above and below the threshold value, we were able to manipulate the size of the aim as desired with a probability of about 80%.

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© 2021 The Japan Society of Mechanical Engineers
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