The goal of the “BCI Competition III” is to validate signal processing and classification methods for Brain-Computer Interfaces (BCIs). Compared to the past BCI Competitions, new challanging problems are addressed that are highly relevant for practical BCI systems, such as

  • session-to-session transfer (data set I)
  • small training sets, maybe to be solved by subject-to-subject transfer (data set IVa),
  • non-stationarity problems (data set IIIb, data set IVc),
  • multi-class problems (data set IIIa, data set V, data set II,),
  • classification of continuous EEG without trial structure (data set IVb, data set V).

Also this BCI Competition includes for the first time ECoG data (data set I) and one data set for which preprocessed features are provided (data set V) for competitors that like to focus on the classification task rather than to dive into the depth of EEG analysis.