Abstract
The development of EEG-based wearable technologies for real-life environments has experienced an increasing interest over the last years. During activities of daily living, these systems need to be able to distinguish predefined mental states from the ongoing EEG signal, and these states of interest can be given after long periods of inactivity. A detector of the intention to move that is conceived to be used in real-time is proposed and offline validated with an experimental protocol with long intervals of inactivity that are also used for the detector's validation. © 2011 Springer-Verlag.
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CITATION STYLE
Ibáñez, J., Serrano, J. I., Del Castillo, M. D., Barrios, L., Gallego, J. Á., & Rocon, E. (2011). An EEG-based design for the online detection of movement intention. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6691 LNCS, pp. 370–377). https://doi.org/10.1007/978-3-642-21501-8_46
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