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Table 3 Experimental results on normalization methods

From: Feature extraction for robust physical activity recognition

Method

ACC

GYR

MAG

QUAD

Acc%

F-measure

Acc%

F-measure

Acc%

F-measure

Acc%

F-measure

None

95.5

0.951

94.4

0.941

96.3

0.952

93.0

0.924

SIGN 1

94.7

0.943

93.6

0.935

96.1

0.957

92.2

0.923

SIGN 2

94.5

0.938

93.6

0.929

93.4

0.924

92.1

0.923

SIGN 3

89.2

0.880

88.1

0.870

93.6

0.927

87.5

0.865

SIGN 4

92.7

0.920

91.5

0.910

94.0

0.931

90.8

0.901

SIGN 5

96.4

0.961

95.4

0.950

97.9

0.976

94.1

0.939

SIGN 6

96.1

0.958

95.1

0.949

94.8

0.943

93.8

0.934

FEAT 1

95.6

0.951

94.5

0.940

95.6

0.950

93.0

0.930

FEAT 2

95.4

0.948

94.3

0.937

95.2

0.946

93.1

0.925

FEAT 3

94.7

0.940

93.5

0.932

95.0

0.944

92.1

0.920

FEAT 4

94.8

0.943

93.6

0.932

95.8

0.954

92.3

0.921

FEAT 5

92.2

0.916

91.1

0.908

96.4

0.960

90.2

0.892

FEAT 6

93.9

0.932

94.8

0.926

96.1

0.956

91.5

0.910

  1. Italic values indicate the best results in this experiment