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Table 2 Error rates for non-filtered and filtered arm movement signals

From: Arm movement speed assessment via a Kinect camera: A preliminary study in healthy subjects

  

Hand

Wrist

  

f 1

f 2

f 3

f 4

f 1

f 2

f 3

f 4

  

error(%)

error(%)

error(%)

error(%)

error(%)

error(%)

error(%)

error(%)

Intra

Non-filtered

0.49

0.98

58.27

24.69

1.48

4.44

55.80

31.85

 

Filtered

0.49

2.46

58.27

11.35

1.48

4.44

55.80

15.55

Inter

Non-filtered

8.39

6.41

60.74

30.86

10.37

12.34

58.02

41.97

 

Filtered

8.39

5.43

60.74

22.71

10.86

9.38

58.02

26.17

  

Elbow

Shoulder

  

f 1

f 2

f 3

f 4

f 1

f 2

f 3

f 4

  

error(%)

error(%)

error(%)

error(%)

error(%)

error(%)

error(%)

error(%)

Intra

Non-filtered

1.48

6.41

53.82

21.72

4.44

11.60

36.04

12.83

 

Filtered

1.48

5.18

53.82

11.85

4.44

11.85

36.04

15.30

Inter

Non-filtered

11.35

17.53

51.60

34.32

27.40

31.35

38.51

33.58

 

Filtered

11.35

14.56

51.60

27.90

27.40

31.11

38.51

32.09

  1. Classification error was calculated within (intra) and between (inter) speed classes. For the intraclass speed classification, the lowest error wass achieved by either non-filtered or filtered of feature f 1 (error of 0.49%), while the lowest error achieved for the interclass speed classification was 5.43% by filtered feature f 1. Feature filtration is done using a Butterworth low-pass filter with a cutoff frequency of 6 Hz.