Table 4.

Comparison results for different model settings and existing approach

Validation	Threshold	Performance metrics
		Recall	Precision	F2
B1) Threshold = 0.15	0.15	0.80	0.54	0.73
B2) Threshold = 0.21	0.21	0.46	0.68	0.49
C1) TS_window_size = 64	0.18	0.68	0.59	0.66
C2) TS_window_size = 80	0.18	0.56	0.59	0.57
D) No SGF Filter + speed and Heading parameters	0.18	0.95	0.36	0.72
E) SGF + Only Speed parameters	0.18	0.61	0.57	0.60
F) SGF + Only Heading parameters	0.18	0.54	0.67	0.56
A1) Training each user (80/20) TS_window_size = 40, SGH + Speed parameters + Heading parameters	0.21	0.83	0.60	0.77
A2) Weighted Average of A2		0.75	0.62	0.72
PCA—training each user (80/20), TS_window_size = 40	0.17	0.66	0.34	0.45
PCA—ID-4 training (100%), TS_window_size = 40, SGH + Speed parameters + Heading parameters	0.17	0.49	0.44	0.47
Breaking Threshold—ID-4 training (100%), only Speed parameters	variable	< 0.30	< 0.30	< 0.30