Table 9 Average results and standard deviation for the Rule-based (RB) and Neural Network (NN) methods for each exercise (E1, E2, and E3) with LOSO and LOES cross-validation
Precision | Recall | \(F_1 score\) | Hamming loss | |
|---|---|---|---|---|
Rule-based (RB) Approach | ||||
Leave-One-Subject-Out (LOSO) cross-validation | ||||
\(\text {E1}\) | 0.75 ± 0.14 | 0.78 ± 0.12 | 0.76 ± 0.12 | 0.11 ± 0.07 |
\(\text {E2}\) | \(0.54 \pm 0.17\) | \(0.65 \pm 0.17\) | \(0.59 \pm 0.16\) | \(0.20 \pm 0.08\) |
\(\text {E3}\) | \(0.69 \pm 0.27\) | \(0.71 \pm 0.26\) | \(0.70 \pm 0.26\) | 0.13 ± 0.11 |
Neural Network (NN) based Approach | ||||
Leave-One-Subject-Out (LOSO) cross-validation | ||||
\(\text {E1}\) | \(0.71 \pm 0.23\) | \(0.70 \pm 0.25\) | \(0.70 \pm 0.24\) | \(0.18 \pm 0.15\) |
\(\text {E2}\) | 0.73 ± 0.21 | 0.73 ± 0.19 | 0.73 ± 0.19 | 0.15 ± 0.11 |
\(\text {E3}\) | 0.80 ± 0.22 | 0.80 ± 0.21 | 0.80 ± 0.22 | \(0.14 \pm 0.14\) |
Leave-One-Exercise-Out (LOEO) cross-validation with E1 and E2 | ||||
\(0.78 \pm 0.05\) | \(0.81 \pm 0.01\) | \(0.80 \pm 0.02\) | \(0.12 \pm 0.01\) | |