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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