Research Article
A Deep Learning-Based Framework for Human Activity Recognition in Smart Homes
Table 5
Results of all models in the “feature selection approach.”
| Feature selection approach (50 features) | Accuracy (%) | F-measure (%) | Training time (sec) | Testing time (sec) |
| Baseline-ANOVA-RF | 95.10 | 95.30 | 4.94 | 0.83 | ANOVA-MLP | 95.37 | 95.39 | 46.3 | 3.08 | ANOVA-RNN | 95.21 | 95.27 | 106.71 | 2.96 | ANOVA-LSTM | 95.27 | 95.30 | 135.04 | 3.62 | ANOVA-GRU | 95.14 | 95.20 | 142.87 | 3.67 |
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