Table 1 Subject characteristics.
From: Performance of Microsoft Azure Kinect DK as a tool for estimating human body segment lengths
Items | Children (n = 22) | Adults (n = 54) | ||
|---|---|---|---|---|
Length (cm) | Proportions of height | Length (cm) | Proportions of height | |
Age (year) | 13.18 (3.05) | 35.12 (13.80) | ||
Height (cm) | 156.5 (15.7) | 167.2 (7.1) | ||
Weight (kg) | 46.4 (13.3) | 64.3 (13.4) | ||
BMI (kg/m2) | 18.5 (3.2) | 22.9 (3.7) | ||
DXA results | ||||
Lt arm (cm) | 25.1 (3.1) | 0.160 (0.005) | 26.8 (1.4) | 0.160 (0.004) |
Rt arm (cm) | 25.2 (3.1) | 0.161 (0.005) | 26.9 (1.4) | 0.161 (0.005) |
Lt forearm (cm) | 21.5 (2.4) | 0.137 (0.005) | 22.7 (1.4) | 0.136 (0.005) |
Rt forearm (cm) | 21.4 (2.5) | 0.137 (0.005) | 22.9 (1.5) | 0.137 (0.005) |
Lt thigh (cm) | 36.7 (4.4) | 0.234 (0.008) | 39.1 (2.3) | 0.234 (0.007) |
Rt thigh (cm) | 36.7 (4.5) | 0.234 (0.009) | 39.1 (2.3) | 0.234 (0.007) |
Lt leg (cm) | 34.4 (4.0) | 0.220 (0.006) | 36.1 (2.1) | 0.216 (0.006) |
Rt leg (cm) | 34.4 (3.9) | 0.219 (0.006) | 35.9 (2.1) | 0.215 (0.005) |
Kinect results | ||||
Lt arm (cm) | 25.0 (2.6) | 0.160 (0.002) | 26.7 (1.4) | 0.160 (0.003) |
Rt arm (cm) | 25.5 (2.7) | 0.163 (0.002) | 27.2 (1.4) | 0.163 (0.003) |
Lt forearm (cm) | 21.0 (2.2) | 0.134 (0.002) | 22.4 (1.1) | 0.134 (0.003) |
Rt forearm (cm) | 21.2 (2.2) | 0.136 (0.002) | 22.7 (1.2) | 0.136 (0.003) |
Lt thigh (cm) | 36.2 (3.8) | 0.231 (0.003) | 38.7 (2.0) | 0.232 (0.004) |
Rt thigh (cm) | 36.2 (3.8) | 0.231 (0.003) | 38.7 (2.0) | 0.231 (0.004) |
Lt leg (cm) | 34.6 (3.6) | 0.221 (0.003) | 37.0 (1.9) | 0.221 (0.004) |
Rt leg (cm) | 34.9 (3.7) | 0.223 (0.003) | 37.4 (1.9) | 0.224 (0.004) |
