Table 1.
Results of different network models in EgoGesture.
| Recognition methods | Input categories | Validation set of EgoGseture (%) | Test set of EgoGseture (%) |
|---|---|---|---|
| Harris3.5D | RGB + depth | 35.8 | 36.1 |
| HOG3D | RGB + depth | 43.8 | 44.6 |
| HON4D | Depth | 57.2 | 58.3 |
| C3D | RGB + depth | 56.1 | 57.4 |
| T3D | RGB + depth | 62.4 | 63.8 |
| R3D | RGB + depth | 64.8 | 66.1 |
| Proposed algorithm | RGB + depth | 71.5 | 72.4 |