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Table 7 Overall accuracies for the classifiers in all learning approaches

From: Improving the recognition of grips and movements of the hand using myoelectric signals

Method

Subj1 (%)

Subj2 (%)

Subj3 (%)

Avg. (%)

Dec.Tree (C4.5)

76.77

65.18

65.28

69.08

1-NN

77.02

71.51

64.41

71.00

RandFor. (25)

84.28

72.71

72.93

76.64

SVM

80.58

71.19

70.21

74.00

Affinity

88.91

81.95

79.94

83.63

DTW

88.67

83.67

82.67

85.22

  1. The first four are the classifiers used in the first approach, while the bottom two rows represent values for the second and third approaches at the top of the curve for each subject, as noted in Figs. 9 and 11
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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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