Research Article
Static Hand Gesture Recognition Based on Convolutional Neural Networks
Table 5
Results obtained for each dataset individually using the architectures available in the literature.
| | | InceptionV3 | Inception ResNetV2 | ResNet50 | Dense Net201 | VGG16 | VGG19 | LeNet |
| | Own dataset | 98.44% | 99.35% | 98.89% | 99.27% | 98.10% | 98.32% | 86.15% | | Barczak et al. [33] | 99.23% | 99.74% | 99.11% | 98.89% | 99.58% | 99.53% | 98.15% | | Moeslund’s [37] | 99.41% | 99.80% | 98.24% | 99.02% | 99.61% | 99.61% | 97.65% |
|
|
