Evolutionary synthesis of a trajectory integrator for an analogue brain-computer interface mouse
EvoApplications'11 Proceedings of the 2011 international conference on Applications of evolutionary computation - Volume Part I
MultiMind: Multi-Brain Signal Fusion to Exceed the Power of a Single Brain
EST '12 Proceedings of the 2012 Third International Conference on Emerging Security Technologies
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We explored the possibility of controlling a spacecraft simulator using an analogue Brain-Computer Interface (BCI) for 2-D pointer control. This is a difficult task, for which no previous attempt has been reported in the literature. Our system relies on an active display which produces event-related potentials (ERPs) in the user's brain. These are analysed in real-time to produce control vectors for the user interface. In tests, users of the simulator were told to pass as close as possible to the Sun. Performance was very promising, on average users managing to satisfy the simulation success criterion in 67.5% of the runs. Furthermore, to study the potential of a collaborative approach to spacecraft navigation, we developed BCIs where the system is controlled via the integration of the ERPs of two users. Performance analysis indicates that collaborative BCIs produce trajectories that are statistically significantly superior to those obtained by single users.