Research Article
An Efficient Automatic Gait Anomaly Detection Method Based on Semisupervised Clustering
Table 2
CCR/ACCR values for AGD-SSC, AGD-SSC-NBC, IF, and LOF in test case I.
| Seq. No. | Metric | AGD-SSC mean (st. dev.) | AGD-SSC-NBC mean (st. dev.) | IF mean (st. dev.) | LOF mean (st. dev.) |
| Seq. 1 | CCR | 0.9138 (0.0000) | 0.9138 (0.0000) | 0.8897 (0.0105) | 0.8793 (0.0000) | ACCR | 0.9167 (0.0000) | 0.9167 (0.0000) | 0.5333 (0.0408) | 0.5000 (0.0000) |
| Seq. 2 | CCR | 0.9138 (0.0000) | 0.9132 (0.0031) | 0.9328 (0.0052) | 0.8621 (0.0000) | ACCR | 1.0000 (0.0000) | 1.0000 (0.0000) | 0.7583 (0.0250) | 0.4167 (0.0000) |
| Seq. 3 | CCR | 0.9828 (0.0000) | 0.9828 (0.0000) | 0.8822 (0.0064) | 0.8793 (0.0000) | ACCR | 0.9167 (0.0000) | 0.9167 (0.0000) | 0.5139 (0.0311) | 0.4167 (0.0000) |
| Seq. 4 | CCR | 0.9529 (0.0076) | 0.9500 (0.0081) | 0.8902 (0.0169) | 0.8793 (0.0000) | ACCR | 0.9167 (0.0000) | 0.9167 (0.0000) | 0.5389 (0.0826) | 0.5833 (0.0000) |
| Seq. 5 | CCR | 0.9310 (0.0000) | 0.8966 (0.0000) | 0.9408 (0.0139) | 0.8793 (0.0000) | ACCR | 0.9167 (0.0000) | 0.9167 (0.0000) | 0.7333 (0.0500) | 0.4167 (0.0000) |
| Seq. 6 | CCR | 0.9828 (0.0000) | 0.9310 (0.0000) | 0.8874 (0.0139) | 0.8793 (0.0000) | ACCR | 0.9167 (0.0000) | 0.9167 (0.0000) | 0.5694 (0.0573) | 0.5000 (0.0000) |
| Seq. 7 | CCR | 0.9644 (0.0043) | 0.9471 (0.0043) | 0.9052 (0.0097) | 0.9310 (0.0000) | ACCR | 0.9944 (0.0208) | 0.9944 (0.0208) | 0.6278 (0.0416) | 0.6667 (0.0000) |
| Seq. 8 | CCR | 0.9661 (0.0083) | 0.9103 (0.0103) | 0.9109 (0.0167) | 0.8793 (0.0000) | ACCR | 0.9167 (0.0215) | 0.9167 (0.0215) | 0.6722 (0.0643) | 0.5833 (0.0000) |
| Seq. 9 | CCR | 0.9828 (0.000) | 0.8966 (0.0000) | 0.8879 (0.0139) | 0.8966 (0.0000) | ACCR | 1.0000 (0.0000) | 1.0000 (0.0000) | 0.8889 (0.0393) | 0.7500 (0.0000) |
| Seq. 10 | CCR | 0.9638 (0.0052) | 0.9310 (0.0000) | 0.9511 (0.0141) | 0.8966 (0.0000) | ACCR | 1.0000 (0.0000) | 1.0000 (0.0000) | 0.7861 (0.0556) | 0.6667 (0.0000) |
| Total | CCR | 0.9554 | 0.9272 | 0.9078 | 0.8862 | ACCR | 0.9494 | 0.9494 | 0.661 | 0.5500 |
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