Research Article
Nonnegative Tensor-Based Linear Dynamical Systems for Recognizing Human Action from 3D Skeletons
Table 3
Recognition rate on the UTKinect-Action dataset.
| Approach | Recognition Accuracy |
| SE3[12] | 97.08 |
| EigenJoints[13] | 97.10 |
| Grassmann Manifold[8] | 88.5 |
| Key-Pose-Motifs[18] | 93.47 |
| Learning features combination[16] | 98.00 |
| Ensemble TS-LSTM[14] | 96.97 |
| tLDS[6] | 96.48 |
| Bi-LSTM[15] | 96.89 |
| Our approach | 98.23 |
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