Multiclass classification based on combined motor imageries

HIGHLIGHTS

  • who: Cecilia Lindig-León from the Université de Lorraine, CNRS, LORIA, Inria, Nancy, France, Faculty of Engineering, Computer Science and Psychology, Institute of Neural Information Processing, Ulm University, Ulm, Germany have published the article: Multiclass Classification Based on Combined Motor Imageries, in the Journal: (JOURNAL)
  • what: The authors investigate the use of combined MIs (Royer et_al, 2013; Yi et_al, 2013), which in contrast to the standard paradigm considerably increases the number of classes while using the same number of body parts (2n compared to n, where n is the number of body parts, and . . .

     

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