Research Article
3D Skeletal Human Action Recognition Using a CNN Fusion Model
Table 1
Comparisons with other skeletal action recognition methods on the Florence 3D-Action dataset.
| | Approach | Accuracy (%) |
| | Multipart bag-of-poses [17] (2013) | 82.0 | | Motion trajectories [20] (2015) | 87.0 | | Lie group [21] (2014) | 90.9 | | Bi-LSTM [22] (2018) | 93.0 | | MIMTL [23] (2017) | 95.3 | | Optical spectra [14] (2018) | 95.6 | | JDM [15] (2017) | 96.1 | | Proposed (spatial) | 97.3 | | Proposed (temporal) | 95.1 | | Proposed (fusion) | 98.2 |
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