Table 1.
IM-WSHA dataset applied over the proposed classifier and over well-known statistical classifiers.
| Symbols | Activities | LSVM (%) | Random Forest (%) | Proposed (%) |
|---|---|---|---|---|
| P1 | Phone conversation | 68.34 | 70.03 | 73.67 |
| P2 | Vacuum cleaning | 74.36 | 78.37 | 84.78 |
| P3 | Watching TV | 66.08 | 69.84 | 72.43 |
| P4 | Using computers | 69.34 | 72.64 | 74.57 |
| P5 | Reading books | 70.13 | 73.89 | 77.18 |
| P6 | Ironing | 84.43 | 88.43 | 91.24 |
| P7 | Walking | 86.71 | 89.41 | 93.16 |
| P8 | Exercise | 83.76 | 87.65 | 89.78 |
| P9 | Cooking | 67.48 | 69.36 | 75.83 |
| P10 | Drinking | 75.57 | 80.14 | 86.23 |
| P11 | Brushing hair | 73.87 | 78.2 | 82.29 |
| Mean Recognition Accuracy | 74.55 | 77.99 | 81.92 | |
Bold letters for Mean Recognition Accuracy of IM-WSHA dataset.