Table 7 Comparison of the proposed architecture with state of Art and reported techniques.

From: A deep learning based framework for music-synchronized dance choreography with pose quantization and motion prediction for activity recognition

Mutation Factor

Proposed model performance indicators

Mean Accuracy (%) ± S. D

Misclassification Rate (%) ± S.D

Mean Fitness value

F1-score

Flops

(G)

\(\:\mathcal{F}=0.5\)

95.17 ± 0.214

4.83 ± 0.214

2.341 × 10−07

0.8921

0.8312

\(\:\mathcal{F}=\varvec{r}\varvec{a}\varvec{n}\varvec{d}\left(\right)\)

96.87 ± 0.328

3.13 ± 0.328

2.341 × 10−09

0.8989

0.9139

\(\:\mathcal{F}=\varvec{l}\varvec{o}\varvec{g}-\varvec{s}\varvec{i}\varvec{g}\varvec{m}\varvec{o}\varvec{i}\varvec{d}\left(\right)\)

97.199 ± 0.102

2.98 ± 0.102

2.341 × 10−10

0.9172

0.8431

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