Table 2 The accuracy comparison of KNN and improved KNN and soft margin SVM for 14-D and 2-D gesture recognition
From: Gesture recognition method based on a single-channel sEMG envelope signal
Feature dimension | Algorithm | First gesture (%) | Second gesture (%) | Third gesture (%) | Fourth gesture (%) | Fifth gesture (%) | Mean (%) |
|---|---|---|---|---|---|---|---|
14-D | KNN | 76.00 | 72.00 | 66.00 | 69.00 | 90.00 | 74.60 |
Improved KNN | 75.00 | 82.00 | 68.00 | 70.00 | 90.00 | 77.00 | |
Soft margin SVM | 80.00 | 82.00 | 71.00 | 74.00 | 93.00 | 80.00 | |
2-D | KNN | 78.00 | 70.00 | 61.00 | 69.00 | 88.00 | 73.20 |
Improved KNN | 79.00 | 81.00 | 63.00 | 67.00 | 89.00 | 75.80 | |
Soft margin SVM | 84.00 | 80.00 | 74.00 | 67.00 | 92.00 | 79.40 |