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Table 5 Classification accuracies of 9-subjects across 6-filters using 6-feature combination for 6-classifiers

From: fNIRS-based Neurorobotic Interface for gait rehabilitation

Filter Accuracy (%)
S1
S2
S3
S4
S5
S6
S7
S8
S9
KNN LDA QDA NB SVM KNN LDA QDA NB SVM KNN LDA QDA NB SVM
FIR 56.7 60.8 61.3 64.6 55.0 55.0 59.2 66.3 62.9 59.2 59.6 57.5 60.0 59.6 64.2
65.0 50.4 67.9 57.5 63.3 56.7 62.1 62.5 62.5 58.3 50.4 61.7 63.3 63.8 53.3
59.2 60.8 52.1 53.8 62.5 61.7 60.0 58.3 52.5 50.0 56.7 69.2 74.2 71.3 67.5
hrf 57.9 62.2 69.2 68.3 77.5 63.3 65.8 63.3 64.2 74.2 67.1 61.3 64.6 65.0 65.0
67.1 60.4 75.8 70.8 72.5 60.0 61.2 67.1 60.8 73.3 51.7 72.1 72.9 62.9 76.7
62.1 63.8 67.5 55.8 68.3 54.2 60.4 71.7 59.2 80.8 77.5 68.8 80.0 73.3 86.7
Gaussian 56.7 59.2 53.8 62.5 65.0 54.2 52.1 55.0 57.9 55.8 57.1 53.8 48.3 57.5 54.2
50.0 55.8 52.5 61.7 58.3 52.1 50.0 52.1 58.8 60.0 55.8 55.0 53.3 60.4 55.0
52.1 59.6 50.8 54.2 57.5 55.4 60.0 64.2 57.1 54.2 48.8 57.5 59.2 61.7 61.7
Kalman 51.3 57.1 52.5 64.2 65.0 53.8 53.3 52.9 54.2 51.7 47.1 56.7 55.0 57.9 60.8
53.3 46.7 55.0 60.4 54.2 52.5 48.8 49.6 59.2 47.5 51.3 60.0 57.1 60.0 51.7
55.4 57.9 47.9 52.1 55.0 60.4 57.1 62.5 57.5 50.0 56.7 57.5 64.6 61.3 57.5
Wiener 60.0 52.9 57.9 63.8 65.8 57.9 55.4 60.0 57.1 65.0 55.4 57.5 63.3 62.9 70.8
59.2 62.5 70.8 63.3 68.3 51.3 55.8 59.6 56.7 70.0 54.6 62.9 65.0 64.6 72.5
52.9 59.6 56.7 58.8 65.0 55.0 57.5 59.6 63.3 60.8 62.1 60.4 70.0 70.0 78.3
Butterworth 55.4 60.8 60.0 62.9 65.0 49.2 55.4 63.3 59.6 53.3 56.3 56.7 60.4 62.5 55.8
60.0 57.5 67.1 65.0 63.3 54.2 55.4 64.2 59.6 65.0 52.9 60.0 61.7 62.9 63.3
48.8 59.2 56.3 52.1 57.5 43.8 60.0 64.2 67.1 55.8 62.1 63.8 63.8 60.8 63.3