Table 1. Comparison of novelty fall detectors.
Algorithm | AUC mean(std) | SE | SP |
kNN k = 1 | 0.9554 (0.0052) | 0.907 | 0.905 |
kNN-sum k = 2 | 0.9548 (0.0052) | 0.913 | 0.901 |
K-means + 1NN (K = 800) | 0.9575 (0.0056) | 0.929 | 0.890 |
One-Class SVM | 0.9439 (0.0060) | 0.881 | 0.890 |