Research Article
Human Falling Detection Algorithm Based on Multisensor Data Fusion with SVM
Table 2
Performance of this algorithm in fall.
| Action | Characteristic parameters | SV | SVD | BVA | Number of successes |
| Fall forward | The fall begins | 54 | | 60 | 60 | Down phase | | | | 60 | Impact phase | 60 | 60 | 60 | Immobility phase | | 58 | 60 |
| Fall back | The fall begins | 59 | | 60 | 60 | Down phase | | | | 60 | Impact phase | 60 | 60 | 60 | Immobility phase | 58 | | 60 |
| Sideways | The fall begins | 50 | | 60 | 60 | Down phase | | | | 60 | Impact phase | 60 | 60 | 60 | Immobility phase | | 60 | 60 |
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