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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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