Learning From More Than One Data Source: Data Fusion Techniques for Sensorimotor Rhythm-Based Brain–Computer Interfaces

    Proceedings of the IEEE, Volume 103, Issue 6, 2015, Pages 891-906.

    Cited by: 60|Bibtex|Views8|Links
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    Abstract:

    Brain-computer interfaces (BCIs) are successfully used in scientific, therapeutic and other applications. Remaining challenges are among others a low signal-to-noise ratio of neural signals, lack of robustness for decoders in the presence of inter-trial and inter-subject variability, time constraints on the calibration phase and the use o...More

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