"Brain Invaders": a prototype of an open-source P300- based video game working with the OpenViBE platform

Marco Congedo 1 Matthieu Goyat 1 Nicolas Tarrin 1 Gelu Ionescu 2 Léo Varnet 1 Bertrand Rivet 1 Ronald Phlypo 1 Nisrine Jrad 1 Michael Acquadro 1 Christian Jutten 1
GIPSA-DIS - Département Images et Signal, GIPSA-PSD - GIPSA Pôle Sciences des Données
2 GIPSA-Services - GIPSA-Services
GIPSA-lab - Grenoble Images Parole Signal Automatique
Abstract : We have developed the prototype of a pure-BCI video game based on the well known vintage video game "Space Invaders". In our "Brain Invaders" a number of aliens are displayed in a grid and the player has to destroy a particular alien, the target, only by concentrating on it. The game makes use of a stateof- the art P300 oddball paradigm to select the alien to be destroyed at a regular pace, based on current probabilities assigned to each alien by a learning machine continuously analyzing and classifying the user's electroencephalographic stream (the Open-ViBE platform). As compared to the standard P300- speller paradigm our game may optionally use: 1) flashing items in random groups and no longer by rows and columns; 2) variable inter-stimulus intervals drawn from an exponential distribution; 3) magnification of flashed target items. Preliminary tests show an excellent transfer rate, since starting with 36 aliens on the screen, one to three repetitions typically suffice to destroy the target alien. Our development is completely open-source and will continue to improve further the signal processing and classification algorithms, besides the paradigm itself, the gameplay and the BCI ergonomy, in order to achieve a "Plug & Play" video game suitable for the large public of gamers.
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Submitted on : Tuesday, November 15, 2011 - 4:50:24 PM
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  • HAL Id : hal-00641412, version 1


Marco Congedo, Matthieu Goyat, Nicolas Tarrin, Gelu Ionescu, Léo Varnet, et al.. "Brain Invaders": a prototype of an open-source P300- based video game working with the OpenViBE platform. 5th International Brain-Computer Interface Conference 2011 (BCI 2011), Sep 2011, Graz, Austria. pp.280-283. ⟨hal-00641412⟩



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