Table 1 Demographic information of the subjects.
From: Functional movement screen dataset collected with two Azure Kinect depth sensors
Subject | Age [years] | Gender [F|M] | Weight [kg] | Height [cm] | BMI [kg/m2] |
|---|---|---|---|---|---|
s01 | 44 | M | 73 | 168 | 25.86 |
s02 | 23 | F | 51 | 164 | 18.96 |
s03 | 31 | F | 59 | 164 | 21.94 |
s05 | 21 | M | 69 | 173 | 23.05 |
s08 | 40 | F | 58 | 158 | 23.23 |
s09 | 25 | M | 83 | 180 | 25.62 |
s10 | 31 | F | 61 | 163 | 22.96 |
s11 | 22 | M | 72 | 173 | 24.06 |
s12 | 24 | M | 75 | 170 | 25.95 |
s13 | 25 | M | 86 | 187 | 24.59 |
s14 | 22 | F | 54 | 162 | 20.58 |
s15 | 45 | M | 67 | 168 | 23.74 |
s16 | 39 | M | 75 | 168 | 26.57 |
s20 | 24 | M | 63 | 181 | 19.23 |
s21 | 23 | M | 76 | 175 | 24.82 |
s22 | 22 | M | 87 | 183 | 25.98 |
s23 | 48 | F | 65 | 162 | 24.77 |
s24 | 30 | F | 60 | 168 | 21.26 |
s25 | 40 | F | 75 | 183 | 22.40 |
s26 | 59 | F | 70 | 161 | 27.01 |
s27 | 59 | F | 63 | 168 | 22.32 |
s29 | 43 | F | 58.5 | 163 | 22.02 |
s30 | 21 | M | 85 | 181 | 25.95 |
s33 | 49 | F | 75 | 162 | 28.58 |
s34 | 26 | F | 62 | 172 | 20.96 |
s35 | 38 | M | 62 | 168 | 21.97 |
s37 | 21 | F | 59 | 160 | 23.05 |
s38 | 32 | F | 51 | 168 | 18.07 |
s41 | 20 | M | 116 | 188 | 32.82 |
s42 | 20 | F | 64 | 175 | 20.90 |
s43 | 20 | M | 95 | 190 | 26.32 |
s44 | 20 | F | 51 | 171 | 17.44 |
s45 | 24 | M | 70 | 174 | 23.12 |
s47 | 20 | F | 57 | 168 | 20.20 |
s48 | 18 | M | 62 | 173 | 20.72 |
s49 | 20 | F | 72 | 176 | 23.24 |
s51 | 20 | M | 72 | 178 | 22.72 |
s52 | 24 | M | 70 | 172 | 23.66 |
s53 | 24 | M | 69 | 176 | 22.28 |
s54 | 24 | M | 75 | 177 | 23.94 |
s57 | 24 | M | 78 | 182 | 23.55 |
s59 | 22 | F | 58 | 164 | 21.56 |
s60 | 20 | M | 58 | 177 | 18.51 |
s61 | 22 | F | 46 | 164 | 17.10 |
s62 | 23 | M | 88 | 178 | 27.77 |
