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Table 2 Performance index for the matricial global (\(\gamma\)C) and local (\(\gamma\)UC) filters, with \(\gamma\) varying between 1 and 4 reliable accelerometers, in which, each of the criteria [\(\Psi\) in (15)–(18), and \(\Upsilon\) in (26)–(28)] are applied in the matricial filters algorithms

From: Global Kalman filter approaches to estimate absolute angles of lower limb segments

Segments

Filters criteria

4C

4UC

3C

3UC

2C

2UC

1C

1UC

Body

1.649

1.684

1.980

2.063

1.964

1.923

2.191

2.335

Thigh

0.926

0.937

0.652

0.702

0.664

0.772

0.815

0.810

Shank

0.783

0.818

0.858

0.956

0.568

0.660

0.606

1.656

Foot

1.456

1.439

1.618

1.586

1.470

1.453

1.359

1.316

Average

1.204

1.220

1.277

1.327

1.167

1.202

1.243

1.529

AR (%)

2.4

2.4

11.3

14.3

22.2

36.1

29.2

64

AGR (%)

2.4

9.4

15

15

  1. The accelerometer reliability (AR) and accelerometer global reliability (AGR) are also shown