Table 7.
Accuracies of common classification approaches for the four most studied applications.
| Classification Approach | Classification Accuracy (%) | |||
|---|---|---|---|---|
|
| ||||
| Fall Detection | ADL Ambulation | ADL Transfer | ADL Posture | |
| SVM | 92.30 | 93.00 | 68.00 | 99.63 |
| C4.5/J48 | 89.71 | 93.80 | 97.10 | |
| Naïve Bayes | 97.30 | 84.00 | 93.30 | 94.60 |
| Decision trees | 80.00 | 90.80 | ||
| ANN | 95.00 | 89.30 | ||
| KNN | 84.44 | 90.00 | 78.70 | 90.00 |
| DBN | 80.00 | 98.00 | 98.00 | |
| BN | 93.00 | 94.00 | 91.30 | 99.00 |
| HMM | 82.00 | 87.05 | ||
| Fuzzy Logic | 80.00 | 99.90 | 97.00 | 98.70 |
| GMM | 41.00 | 91.30 | ||
| Threshold-based algorithms | 100.00 | 100.00 | 100.00 | 100.00 |
| Ensembles | 90.00 | 90.00 | ||