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. Author manuscript; available in PMC: 2014 Feb 5.
Published in final edited form as: Conf Proc IEEE Eng Med Biol Soc. 2013;2013:4223–4226. doi: 10.1109/EMBC.2013.6610477

Figure 1.

Figure 1

Organization of parallel classifier tested. The configuration used three parallel classifiers: one for each DOF evaluated. Each classifier output one of two active motion classes or no motion. The overall commanded movement was the combination of the output from each classifier. An example of the training data used for the hand classifier is shown. Here, all 2-DOF motion classes containing hand closed are relabeled to hand closed, etc. It is not required to use 2-DOF motion classes to train the classifier. PR = pronation, SU = supination, WF = wrist flexion, WE = wrist extension, HC = hand closed, HO = hand open, NM = no movement.