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Table 4 Recognition accuracy achieved for facial gestures using different features averaged over all subjects (%)

From: EMG-based facial gesture recognition through versatile elliptic basis function neural network

Gestures

G1

G2

G3

G4

G5

G6

G7

G8

G9

G10

Features

MAV

35.5

77.7

88.8

77.7

100

97.7

100

83.3

100

98.8

MAVS

31.1

77.7

88.8

77.7

100

94.4

94.4

82.2

100

98.8

RMS

25.5

82.2

87.7

86.6

88.8

97.7

96.6

82.2

98.8

98.8

VAR

23.3

0

44.4

45.5

55.5

22.2

72.2

14.4

11.1

44.4

WL

11.1

32.2

34.4

12.2

11.1

31.1

43.3

24.4

12.2

32.2

IEMG

35.5

77.7

88.8

76.6

100

95.5

96.6

88.8

97.7

100

SSC

22.2

86.6

45.5

64.4

34.4

70

88.8

43.3

44.4

88.8

MV

40

21.1

11.1

11.1

25.5

52.2

42.2

25.5

31.1

35.5

SSI

33.3

85.5

87.7

77.7

98.8

81.1

93.3

78.8

90

97.7

MPV

36.6

88.8

100

87.7

100

95.5

100

66.6

97.7

98.8

Mean

29.41

62.95

67.72

61.72

71.41

73.74

82.74

58.95

68.3

79.38

Maximum

40

88.8

100

87.7

100

97.7

100

88.8

100

100

Minimum

11.1

0

11.1

11.1

11.1

22.2

42.2

14.4

11.1

32.2