Title :
Thinking Penguin: Multimodal Brain–Computer Interface Control of a VR Game
Author :
Leeb, R. ; Lancelle, M. ; Kaiser, V. ; Fellner, Dieter W. ; Pfurtscheller, G.
Author_Institution :
Center for Neuroprosthetics, Ecole Polytech. Fed. de Lausanne (EPFL), Lausanne, Switzerland
Abstract :
In this paper, we describe a multimodal 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 multimodal or hybrid BCI implementation, in which the user can even perform other tasks in parallel.
Keywords :
brain-computer interfaces; computer games; virtual reality; BCI performance; VR game; discrete asynchronous action; game controller; highly immersive CAVE; hybrid BCI implementation; joystick control; jump action; multimodal brain computer interface control; task demand; thinking penguin game; virtual environment; virtual reality game; visual complexity; Brain computer interfaces; Educational institutions; Electrodes; Electroencephalography; Feature extraction; Games; Training; Brain–computer interfaces (BCI); brain switch; game; hybrid BCI; multimodal; multitasking; virtual reality (VR);
Journal_Title :
Computational Intelligence and AI in Games, IEEE Transactions on
DOI :
10.1109/TCIAIG.2013.2242072