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Prospects of brain–machine interfaces for space system control

2008; Elsevier BV; Volume: 64; Issue: 4 Linguagem: Inglês

10.1016/j.actaastro.2008.09.008

1879-2030

Carlo Menon, Cristina de Negueruela, José del R. Millán, Oliver Tonet, Federico Carpi, Michael Broschart, Pierre W. Ferrez, Anna Buttfield, Franca Tecchio, Francisco Sepulveda, Luca Citi, Cecilia Laschi, Mario Tombini, Paolo Dario, Paolo Maria Rossini, Danilo De Rossi,

Advanced Memory and Neural Computing

The dream of controlling and guiding computer-based systems using human brain signals has slowly but steadily become a reality. The available technology allows real-time implementation of systems that measure neuronal activity, convert their signals, and translate their output for the purpose of controlling mechanical and electronic systems. This paper describes the state of the art of non-invasive brain–machine interfaces (BMIs) and critically investigates both the current technological limits and the future potential that BMIs have for space applications. We present an assessment of the advantages that BMIs can provide and justify the preferred candidate concepts for space applications together with a vision of future directions for their implementation.