Thinking Penguin: Multi-modal Brain-Computer Interface Control of a VR Game

We describe a multi-modal brain-computer interface (BCI) experiment, situated in a highly immersive CAVE. A subject sitting in the virtual environment controls the main character of a virtual reality game: a penguin that slides down a snowy mountain slope. While the subject can trigger a jump action via the BCI, additional steering with a game controller as a secondary task was tested. Our experiment profits from the game as an attractive task where the subject is motivated to get a higher score with a better BCI performance. A BCI based on the so-called brain-switch was applied, which allows discrete asynchronous actions. Fourteen subjects participated, of which 50% achieved the required performance to test the penguin game. Comparing the BCI performance during the training and the game showed that a transfer of skills is possible, in spite of the changes in visual complexity and task demand. Finally and most importantly, our results showed that the use of a secondary motor task, in our case the joystick control, did not deteriorate the BCI performance during the game. Through these findings, we conclude that our chosen approach is a suitable multi-modal or hybrid BCI implementation, in which the user can even perform other tasks in parallel.

Published in:
IEEE Transactions on Computational Intelligence and AI in Games, 5, 2, 117-128
Piscataway, Ieee-Inst Electrical Electronics Engineers Inc

 Record created 2013-01-28, last modified 2018-03-18

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