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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