Skip to main content

Table 4 The confusion matrices use the area feature, PCA and KPCA approaches to classify different gaits

From: Quantification and recognition of parkinsonian gait from monocular video imaging using kernel-based principal component analysis

 

Area feature

PCA

KPCA

 

Non-PD

Drug-Off

Drug-On

Non-PD

Drug-Off

Drug-On

Non-PD

Drug-Off

Drug-On

Non-PD

9

0

3

10

1

1

10

0

2

Drug-Off

1

8

3

2

7

3

2

10

0

Drug-On

6

5

1

3

1

8

2

1

9

Predicted/actual

9/12

8/12

1/12

10/12

7/12

8/12

10/12

10/12

9/12

Accuracy

75%

66.67%

8.33%

83.33%

58.33%

66.67%

83.33%

83.33%

75%

Average accuracy

50.16%

  

69.44%

  

80.51%

 Â