Table 4.
Confusion matrix of proposed method for HAR using SVM with self collected dataset
| Actual classes | |||||||
|---|---|---|---|---|---|---|---|
| Activities | Predicted class | Recall | |||||
| Walk | Up | Down | Sit | Stand | Lie | ||
| Walk | 887 | 8 | 10 | 0 | 0 | 0 | 98.01% |
| Up | 28 | 605 | 12 | 0 | 0 | 0 | 93.80% |
| Down | 6 | 15 | 635 | 0 | 15 | 0 | 94.63% |
| Sit | 0 | 0 | 0 | 789 | 5 | 7 | 98.50% |
| Stand | 0 | 0 | 10 | 1 | 772 | 4 | 98.09% |
| Lie | 0 | 0 | 0 | 1 | 1 | 858 | 99.77% |
| Precision | 96.31% | 96.34% | 95.20% | 99.75% | 97.35% | 98.73% | 99.10% |