An Efficient Automatic Gait Anomaly Detection Method Based on Semisupervised Clustering

Table 7

The CPU timing of the test case III by the AGD-SSC, AGD-SSC-NBC, IF, and LOF.

Seq. no.	AGD-SSC; mean (st. dev.)	AGD-SSC-NBC; mean (st. dev.)	IF mean (st. dev.)	LOF mean (st. dev.)
Seq. 1	1.3630 (0.0198)	2.0991 (0.0188)	10.3548 (0.0274)	0.8779 (0.0093)
Seq. 2	0.9329 (0.0230)	2.4315 (0.0703)	10.3604 (0.0427)	0.8888 (0.0249)
Seq. 3	1.2131 (0.0135)	2.2532 (0.0214)	10.3636 (0.0170)	0.8875 (0.0222)
Seq. 4	1.6834 (0.0280)	2.1603 (0.0303)	10.3877 (0.1105)	0.8844 (0.0228)
Seq. 5	1.1467 (0.0233)	2.0710 (0.0313)	10.3720 (0.0779)	0.8873 (0.0290)
Seq. 6	1.0755 (0.0486)	2.1199 (0.0306)	10.4088 (0.2120)	0.8901 (0.0459)
Seq. 7	1.3052 (0.0413)	3.5250 (0.1036)	10.3717 (0.0829)	0.8869 (0.0287)
Seq. 8	1.0829 (0.0356)	0.9906 (0.0323)	10.3682 (0.0704)	0.8866 (0.0271)
Seq. 9	1.3358 (0.0961)	2.1020 (0.0131)	10.3679 (0.0712)	0.8900 (0.0336)
Seq. 10	1.1698 (0.0552)	2.0080 (0.0292)	10.3664 (0.0693)	0.8884 (0.0264)
Average	1.2308	2.2761	10.3721	0.8868