Research Article
A Framework for Human Activity Recognition Based on WiFi CSI Signal Enhancement
Table 2
Accuracy of different activities in each experimental scenario.
| Scenarios | Approach | Bend | Call | Clap | Drink | Sit | Squat | Walk | Wave |
| Empty room | Raw signal | 93.63 | 96.46 | 88.38 | 88.81 | 93.78 | 89.74 | 98.76 | 87.49 | NISE | 96.94 | 99.46 | 92.09 | 92.42 | 98.63 | 90.58 | 100 | 97.74 | PSE | 96.63 | 98.98 | 91.33 | 91.48 | 97.83 | 91.20 | 100 | 96.04 |
| Meeting room | Raw signal | 90.09 | 89.37 | 91.57 | 91.26 | 92.56 | 94.49 | 93.90 | 92.76 | NISE | 95.07 | 95.37 | 95.02 | 98.30 | 96.39 | 98.59 | 100 | 99.35 | PSE | 92.91 | 95.17 | 92.75 | 97.96 | 98.51 | 99.20 | 100 | 99.49 |
| Research room | Raw signal | 81.08 | 82.18 | 80.52 | 80.58 | 81.78 | 82.88 | 86.59 | 83.35 | NISE | 96.30 | 91.60 | 94.37 | 92.38 | 99.10 | 97.68 | 99.10 | 89.01 | PSE | 94.28 | 90.77 | 91.84 | 92.22 | 98.84 | 99.11 | 98.96 | 91.10 |
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