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Table 3 Recognition with sEMG data

From: Human activity monitoring system based on wearable sEMG and accelerometer wireless sensor nodes

  BC LR VR IM
BC 23 0 0 0
LR 1 12 13 0
VR 0 9 9 0
IM 3 0 0 14
  1. This table reports the confusion matrix resulting from a classifier trained and tested to only use features extracted from the electromiographic signals, with an overall accuracy of 69.1%
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BioMedical Engineering OnLine

ISSN: 1475-925X

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