Research Article
Vector Autoregressive Hierarchical Hidden Markov Models for Extracting Finger Movements Using Multichannel Surface EMG Signals
Table 2
Classifier accuracy in % for the different subjects and MAV feature.
| SUB | LDA | QDA | KNN | SVM ECOC | L ECOC | LDA ECOC | KNN ECOC | NB | RF | DT | HMM | HSMM | HMM S1 | HSMM S1 |
| 1 | 82.07 | 86.39 | 79.10 | 82.43 | 80.60 | 82.65 | 79.19 | 65.97 | 79.65 | 69.70 | 87.50 | 91.18 | 86.70 | 90.94 | 2 | 80.28 | 81.94 | 79.96 | 84.83 | 80.85 | 83.55 | 80.45 | 69.36 | 83.01 | 65.68 | 83.51 | 85.61 | 83.51 | 85.42 | 3 | 79.69 | 56.82 | 77.19 | 81.26 | 72.77 | 80.31 | 77.98 | 63.79 | 79.48 | 57.75 | 76.28 | 75.76 | 71.51 | 73.43 | 4 | 81.64 | 82.31 | 82.95 | 82.83 | 77.92 | 82.02 | 83.12 | 75.33 | 80.56 | 70.08 | 83.00 | 84.30 | 82.59 | 83.35 | 5 | 80.21 | 66.88 | 78.54 | 80.97 | 78.06 | 78.45 | 78.78 | 70.25 | 74.62 | 63.94 | 77.20 | 82.96 | 62.86 | 78.39 |
| Median | 80.28 | 81.94 | 79.10 | 82.43 | 78.06 | 82.02 | 79.19 | 69.36 | 79.65 | 65.68 | 83.00 | 84.30 | 82.59 | 83.35 |
| Rank | 8 | 7 | 11 | 5 | 12 | 6 | 10 | 13 | 9 | 14 | 3 | 1 | 4 | 2 |
|
|