Table 8.

Summary of accuracy and the Kappa values for three ML models (with the highest classification accuracy at the 3, 5 and 11 s time windows on the CBS test dataset, trained by 12 features from three-axis accelerometer and three-axis gyroscope data) at the 3, 5 and 11 s time windows on the test dataset and the CBS test dataset separately.

	Time Window	Model	Accuracy (%)	Kappa Value
Test dataset	3 s	Stacking	95.1	0.927
	5 s	ELM	94.4	0.915
	11 s	ELM	98.4	0.975
CBS test dataset	3 s	Stacking	79.0	0.719
	5 s	ELM	78.2	0.707
	11 s	ELM	63.3	0.501