Brain Invaders : play with your mind

Intervenant(s) : Alexandre Barachant

  • Langue : Français
  • Type d'événement : Conférence
  • Date : Maandag 8 juli 2013
  • Horaire : 11h40
  • Durée : 40 minutes
  • Lieu : K.3.201
Fils rouges : Enjeux sociétaux
Public cible : Grand public

Abstract

Brain Invaders is a free game developed by the CNRS Grenoble within the scope of its brain computer interfaces (BCI) research. This technology allows its users to interact with a computer directly through the brain activity, without any muscular activity. The game Brain Invaders, inspired by the vintage game space invaders, is one of the first game purely based on this technology. The game design has been concieved upon the specificities of this new way to interact with computers, and not simply as a new input device. Brain Invaders relies on several free software: Openvibe for the analysis of the brain activity and Ogre3D for the user interface. This game has been partially funded by the french national research agency (ANR) through the project OpenVibe2.

A general presentation about Brain Computer interfaces will be done, allowing the public to make a clear idea about the current state of this technology, sources of all fantasies (fear and hope). The different applications will be reviewed. The presentation will continue on the challenges of the design of a BCI-based game and how to deal with the specificities of this interface in order to create an enjoyable gameplay. Some examples will be shown.

The game brain invaders will be described in details, and more specifically the free softwares used for its realisation. We will conclude on the future of brain computer interfaces in the field of video games, leading to a discution about the actual locks and the ethical implications.

Biografie

After an electronic enginnering degree and a Ph.D in signal processing, Alexandre Barachant joins the CNRS in order to carry on its research on brain computer interfaces. His research focus on the algorithmic development of new signal processing methods to improve efficiency, performances, robustness and ergonomy of BCI systems. His reasearch interests involve machine learning, source separation and Riemannian geometry. His five years experience in the young field of BCI gives him an expertise and a global vision about this technology.

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