Table 1.
Average and standard deviation of offline accuracy rate, training time (in seconds (s)), and testing time (in millisecond (ms)); real-time accuracy rate, selection time (s), completion time (s), and completion rate for all classifiers over 15 subjects. The best results in each column are bolded.
| Offline | Real-Time | ||||||
|---|---|---|---|---|---|---|---|
| Accuracy (%) | TrTime (s) | TTime (ms) | Accuracy (%) | SelTime (s) | CompTime (s) | CompRate (%) | |
| MLP | 91.7 b ± 5.47 | 14.9 b ± 0.474 | 0.115 b ± 0.066 | 69.8 a ± 8.16 | 0.657 b ± 0.327 | 5.06 a ± 0.528 | 69.8 ab ± 12.8 |
| RFN | 81.0 c ± 5.25 | 0.442 c ± 0.044 | 0.935 b ± 0.047 | 60.9 bc ± 10.4 | 0.732 b ± 0.310 | 4.60 abc ± 0.895 | 64.2 abc ± 13.7 |
| SSOM | 64.6 e ± 7.20 | 5.85 c ± 0.235 | 0.162 b ± 0.039 | 35.5 ef ± 12.4 | 0.955 b ± 0.316 | 4.07 bc ± 1.69 | 42.9 e ± 16.5 |
| LDA | 97.9 a ± 2.69 | 0.342 c ± 0.058 | 2.20 b ± 0.090 | 69.3 ab ± 10.8 | 0.659 b ± 0.238 | 4.79 ab ± 0.815 | 71.3 a ± 14.4 |
| SVM | 84.8 c ± 5.84 | 0.679 c ± 0.154 | 2.43 b ± 0.139 | 43.0 de ± 14.8 | 1.00 b ± 0.327 | 4.75 ab ± 1.31 | 47.3 de ± 18.6 |
| KNN | 63.1 e ± 6.63 | 0.507 c ± 0.181 | 9.69 b ± 0.628 | 33.3 f ± 11.9 | 0.944 b ± 0.262 | 3.85 c ± 1.48 | 38.9 e ± 13.1 |
| MLE | 97.0 a ± 2.25 | 0.171 c ± 0.036 | 0.150 b ± 0.033 | 68.4 abc ± 11.0 | 0.858 b ± 0.486 | 4.82 ab ± 0.806 | 72.4 a ± 13.3 |
| DT | 92.2 b ± 4.33 | 0.408 c ± 0.151 | 0.642 b ± 0.037 | 59.8 c ± 15.8 | 0.926 b ± 0.462 | 4.78 ab ± 1.34 | 59.6 bc ± 20.4 |
| NMF | 70.3 d ± 8.49 | 46.3 a ± 29.5 | 286.6 a ± 161.5 | 47.6 d ± 11.7 | 1.99 a ± 1.52 | 4.88 ab ± 1.72 | 55.1 cd ± 14.0 |
a, b,… means within a column not sharing a common superscript are significantly different (p < 0.05).