Multitask Learning for Brain-Computer Interfaces

  title={Multitask Learning for Brain-Computer Interfaces},
  author={Morteza Alamgir and Moritz Grosse-Wentrup and Yasemin Altun},
Brain-computer interfaces (BCIs) are limited in their applicability in everyday settings by the current necessity to record subjectspecific calibration data prior to actual use of the BCI for communication. In this paper, we utilize the framework of multitask learning to construct a BCI that can be used without any subject-specific calibration process. We discuss how this out-of-the-box BCI can be further improved in a computationally efficient manner as subject-specific data becomes available… CONTINUE READING
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