Recalibration of myoelectric control with active learning

HIGHLIGHTS

• who: Katarzyna Szymaniak from the The University of Chicago, United States have published the Article: Recalibration of myoelectric control with active learning, in the Journal: (JOURNAL)
• what: The aim of this paper is to study active learning as a scalable, human-in-theloop framework, to improve the robustness of myoelectric control. The aim of this paper is to demonstrate, in an offline setting, this bottleneck can be addressed fundamentally using active learning (Settles, 2009). The former approach focuses on finding n best samples to query within single iteration. The authors focused on the informativeness of . . .
  

   

  

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