Table 3 Root-mean-squared errors (RMSE) for predicted percent fat (PFAT) and visceral fat (VFAT) of all current 3D-optical body composition prediction literature on Shape Up! Adults compared to the 3DAE-GPR prediction of the d = 301 and d = 4284 models using the most accurate feature layer identified in Fig. 1
Paper | N test meshes | PFAT RMSE (%) | VFAT RMSE (kg) |
---|---|---|---|
Ng et al. (2019) Anthro only | M: 177 F: 230 | M: 4.03 F: 3.99 | M: 0.15 F: 0.14 |
Ng et al.13 | M: 177 F: 230 | M: 3.55 F: 3.88 | M: 0.14 F: 0.13 |
Tian et al.16 | M: 31 F: 39 | M: 3.90 F: 3.29 | M: 0.15 F: 0.17 |
Wong et al.27 | M: 159 F: 202 | M: 2.73 F: 3.46 | M: 0.13 F: 0.13 |
Tian et al.14 | M: 182 F: 248 | M: 3.24 F: 4.22 | M: 0.12 F: 0.14 |
PCA-GPR M391/F45714 | M: 182 F: 248 | M: 2.79 F: 3.09 | M: 0.13 F: 0.12 |
PCA-GPR 4284 | M: 181 F: 239 | M: 2.68 F: 2.85 | M: 0.11 F: 0.11 |
3DAE-GPR 4284 | M: 181 F: 239 | M: 2.50 F: 2.81 | M: 0.11 F: 0.11 |