1 | 97 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 97 |
2 | 0 | 97 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 97 |
3 | 0 | 0 | 98 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 98 |
4 | 0 | 0 | 0 | 100 | 0 | 0 | 0 | 0 | 0 | 0 | 100 |
5 | 0 | 0 | 0 | 0 | 100 | 0 | 0 | 0 | 0 | 0 | 100 |
6 | 0 | 0 | 0 | 0 | 0 | 97 | 1 | 1 | 1 | 0 | 97 |
7 | 0 | 0 | 0 | 0 | 0 | 2 | 94 | 1 | 0 | 3 | 94 |
8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 0 | 0 | 100 |
9 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 0 | 94 | 0 | 94 |
10 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 98 | 98 |
Total recognition rate | 97.5 |
Literature [ |
200 time-frequency domain features | DT | < 1 | 93.7 |
Literature [ |
45 LPP | DSC | N/A | 87.05 |
Literature [ |
40 RP | SRC | N/A | 82.1 |
Algorithm | 45 Periodic extraction of calibration starting point | SVM | < 1 | 97.5 |
1 | Walk normally | Walk forward for > 10 s |
2 | Walk counterclockwise | Go counterclockwise for > 10 s |
3 | Walk clockwise | Go clockwise for > 10 s |
4 | To the left | Turn left on the spot for > 10 s |
5 | Turn right | Turn right on the spot for > 10 s |
6 | Go up the stairs | Go up > 10 stairs |
7 | Down the stairs | Go down > 10 stairs |
8 | Jogging | Jogging lasts > 10 s |
9 | Jump | Jump in place > 5 times |
10 | Push wheelchair | Push the wheelchair for > 10 s |
Support vector machines | 97.5 |
Decision tree | 89.5 |
Naive Bayes | 86.9 |
K-nearest neighbour | 93.9 |