Research Article
An Efficient Feature Selection Method for Video-Based Activity Recognition Systems
Table 2
Accuracy of the designed approach with the wrapper method on depth database.
| Activities | BD | JK | PJU | RUN | SMO | SKI | WAK | 1HW | 2HW | JU | CL | BOX | SS |
| BD | 80 | 0 | 2 | 1 | 0 | 2 | 0 | 2 | 0 | 1 | 0 | 2 | 0 | JK | 2 | 77 | 1 | 2 | 2 | 2 | 4 | 1 | 2 | 2 | 2 | 1 | 2 | PJU | 1 | 2 | 81 | 2 | 1 | 1 | 2 | 1 | 2 | 2 | 1 | 2 | 2 | RUN | 2 | 2 | 1 | 78 | 4 | 2 | 1 | 2 | 1 | 1 | 1 | 4 | 1 | SMO | 1 | 1 | 3 | 2 | 76 | 3 | 2 | 2 | 4 | 2 | 1 | 1 | 2 | SKI | 0 | 2 | 2 | 1 | 2 | 83 | 1 | 2 | 1 | 2 | 1 | 2 | 1 | WAK | 2 | 1 | 0 | 2 | 1 | 2 | 85 | 1 | 2 | 0 | 2 | 1 | 1 | 1HW | 2 | 2 | 1 | 2 | 1 | 2 | 3 | 79 | 1 | 2 | 1 | 2 | 2 | 2HW | 1 | 2 | 2 | 1 | 2 | 1 | 1 | 2 | 82 | 1 | 2 | 1 | 2 | JU | 2 | 1 | 1 | 2 | 1 | 2 | 2 | 1 | 2 | 83 | 1 | 2 | 0 | CL | 1 | 2 | 2 | 1 | 2 | 1 | 1 | 0 | 2 | 2 | 85 | 0 | 1 | BOX | 2 | 2 | 3 | 1 | 2 | 2 | 1 | 2 | 4 | 1 | 2 | 77 | 1 | SS | 1 | 2 | 2 | 4 | 1 | 2 | 3 | 1 | 2 | 2 | 3 | 2 | 75 | Average | 80.1% |
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