Research Article
[Retracted] Human Motion Representation and Motion Pattern Recognition Based on Complex Fuzzy Theory
Table 2
Comparison of different algorithms.
| | ā | Time complexity (%) | Spatial complexity (%) | Correctness (%) |
| | Fuzzy neural network | 5 | 10 | 97.6 | | MVDR-based feature extraction [45] | 8 | 18 | 92.3 | | Pseudo-2D stick model and K-ary tree hashing [46] | 11 | 21 | 94.1 | | Genetic algorithm [47] | 14 | 12 | 96.3 | | Modified sampling consensus and kernel sliding perceptron [48] | 10 | 25 | 93.5 | | Dense depth maps [49] | 7 | 25 | 91.1 | | Multiple features and random forest [50] | 18 | 26 | 90.4 |
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