Table 6 Correlation between anthropometric measures and gesture/orientation classification accuracy (SVM support vector machine, LDA linear discriminant analysis, ELM extreme learning machine, NN neural network)
From: Wrist-worn wearables based on force myography: on the significance of user anthropometry
Variable | SVM | LDA | ELM | NN |
|---|---|---|---|---|
Grip strength | 0.44 | 0.50 | 0.18 | 0.24 |
Skinfold thickness | − 0.66 | − 0.71 | − 0.22 | − 0.20 |
Skinfold:forearm | − 0.68 | − 0.71 | − 0.28 | − 0.24 |
Wrist:forearm | − 0.57 | − 0.46 | − 0.23 | − 0.28 |
Wrist circumference | − 0.14 | − 0.11 | 0.03 | − 0.03 |
Forearm circumference | 0.23 | 0.13 | 0.17 | 0.12 |