Research Article
An Efficient Feature Selection Method for Video-Based Activity Recognition Systems
Table 13
Accuracy of the designed approach with consistency-based feature selection on depth database.
| Activities | BD | JK | PJU | RUN | SMO | SKI | WAK | 1HW | 2HW | JU | CL | BOX | SS |
| BD | 91 | 1 | 0 | 2 | 0 | 2 | 0 | 1 | 0 | 2 | 0 | 1 | 0 | JK | 2 | 88 | 1 | 0 | 1 | 2 | 1 | 0 | 2 | 0 | 1 | 0 | 2 | PJU | 0 | 1 | 89 | 2 | 1 | 0 | 2 | 1 | 1 | 2 | 0 | 1 | 0 | RUN | 1 | 2 | 0 | 90 | 0 | 1 | 1 | 0 | 1 | 1 | 2 | 0 | 1 | SMO | 2 | 0 | 2 | 1 | 84 | 2 | 1 | 2 | 2 | 1 | 0 | 1 | 2 | SKI | 1 | 2 | 1 | 0 | 2 | 88 | 1 | 0 | 1 | 0 | 1 | 2 | 1 | WAK | 2 | 1 | 2 | 2 | 1 | 2 | 83 | 1 | 0 | 2 | 1 | 1 | 2 | 1HW | 1 | 0 | 1 | 2 | 1 | 0 | 0 | 91 | 2 | 0 | 2 | 0 | 0 | 2HW | 1 | 2 | 0 | 1 | 0 | 1 | 2 | 0 | 89 | 2 | 0 | 1 | 1 | JU | 2 | 1 | 1 | 0 | 2 | 2 | 0 | 1 | 2 | 86 | 1 | 0 | 2 | CL | 0 | 2 | 0 | 2 | 1 | 0 | 2 | 2 | 1 | 2 | 85 | 2 | 1 | BOX | 1 | 2 | 1 | 1 | 0 | 2 | 1 | 0 | 0 | 1 | 1 | 90 | 0 | SS | 2 | 0 | 2 | 1 | 1 | 0 | 2 | 1 | 2 | 0 | 0 | 2 | 87 | Average | 87.8% |
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