Review Article
A Review on Fall Prediction and Prevention System for Personal Devices: Evaluation and Experimental Results
Table 1
Results of different approaches with decision tree and support vector machine classifications.
| Measures | Tilt | Speed | Acceleration | ā | DT | SVM | DT | SVM | DT | SVM |
| Accuracy | 83.88 | 65.7 | 72.11 | 61.53 | 81.42 | 56.66 | Error Rate | 16.11 | 34.2 | 27.88 | 38.46 | 18.57 | 43.33 | Sensitivity | 0.88 | 0.74 | 0.87 | 0.66 | 0.78 | 0.26 | Generality | 0.21 | 0.42 | 0.43 | 0.43 | 0.15 | 0.12 | Precision | 0.81 | 0.63 | 0.67 | 0.60 | 0.83 | 0.68 | Recall | 0.88 | 0.74 | 0.87 | 0.66 | 0.78 | 0.26 | ROC Area | 0.86 | 0.65 | 0.69 | 0.61 | 0.82 | 0.57 |
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