Research Article
Action Recognition Based on Depth Motion Map and Hybrid Classifier
Table 2
Action recognition results by setting one.
| method (%) | Ref.[11] | Ref.[9] | Ref.[12] | Ref.[13] | Our method |
| experiment one
| AS1 | 97.3 | 94.7 | 97.3 | 89.5 | 95.3 | AS2 | 92.2 | 95.4 | 96.1 | 89.0 | 96.1 | AS3 | 98.0 | 97.3 | 98.7 | 96.3 | 98.0 | average | 95.8 | 95.8 | 97.4 | 91.6 | 96.4 |
| experiment two
| AS1 | 98.7 | 97.3 | 98.6 | 93.4 | 98.6 | AS2 | 94.7 | 98.7 | 98.7 | 92.9 | 96.0 | AS3 | 98.7 | 97.3 | 100 | 96.3 | 100.0 | average | 97.4 | 97.8 | 99.1 | 94.2 | 98.2 |
| experiment three
| AS1 | 96.2 | 74.5 | 96.2 | 72.9 | 99.0 | AS2 | 84.1 | 96.1 | 83.2 | 71.9 | 90.2 | AS3 | 94.6 | 96.4 | 92.0 | 79.2 | 94.6 | average | 91.6 | 89.0 | 90.5 | 74.7 | 94.6 |
|
|