TABLE 3. Height and Weight Predictions Performance From Anthropometric Measurements.
Author, year | n | Age (years) | Gender | Regression | Predictor variable | RMSE | |
---|---|---|---|---|---|---|---|
Height | Chumlea et al, [7] | 4.750 | Over 60 | Men/Women* | Linear | Sitting height, Age | 3.25 |
Cereda et al., [35] | 635 | 30–55 | Men/Women* | Linear | Knee height, Tibia length, body composition | 2.2 ** / 4.4*** | |
Proposed Model | 4.261 | Over 21 | Men/Women | Gaussian Process | Sitting height | 2.11 | |
Weight | Author, year | n | Age (years) | Gender | Regression | Predictor variable | R-Squared |
Lin, et al. [36] | 235 | Over 18 | Men/Women* | Linear | Knee height, Mid Arm circumference | 0.69 | |
Proposed Model | 4.261 | Over 21 | Men/Women | Gaussian Process | Knee height, Mid Arm circumference, Stature | 0.84 |
separated groups,
men,
women)