Research Article
An Analysis of Audio Features to Develop a Human Activity Recognition Model Using Genetic Algorithms, Random Forests, and Neural Networks
Table 11
Confusion matrix of the NN-based HAR model with all MFCC features.
| ā | Brew coffee | Cooking | Use microwave oven | No activity | Take a bath | Dish washing | Hand washing | Teeth brushing | Type II error |
| Brew coffee | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NA | Cooking | 60 | 35 | 13 | 3 | 130 | 37 | 16 | 25 | 0.890 | Use microwave oven | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NA | No activity | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NA | Take a bath | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NA | Dish washing | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NA | Hand washing | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NA | Teeth brushing | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NA | No activity | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NA | Type I error | 1.000 | 0.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | ā |
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