Research Article
3D Skeletal Human Action Recognition Using a CNN Fusion Model
Table 2
Comparisons with other skeletal action recognition methods on the Toyota Smarthome dataset.
| Approach | CS | CV1 | CV2 |
| HMM [24] (2016) | 25.7 | 10.2 | 13.4 | DT [25] (2011) | 41.9 | 20.9 | 23.7 | LSTM [26] (2016) | 42.5 | 13.4 | 17.2 | I3D [27] (2017) | 53.4 | 34.9 | 45.1 | I3D + NL [28] (2018) | 53.6 | 34.3 | 43.9 | Optical spectra [14] (2018) | 53.7 | 31.2 | 43.5 | JDM [15] (2017) | 54.0 | 34.5 | 44.6 | Separable STA [18] (2019) | 54.2 | 35.2 | 50.3 | DPI [29] (2019) | 54.5 | 36.0 | 52.8 | Proposed (spatial) | 54.4 | 35.7 | 52.5 | Proposed (temporal) | 51.1 | 30.2 | 47.9 | Proposed (fusion) | 55.0 | 36.3 | 53.2 |
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