Table 2.

The preliminarily investigated results of the performances of multi-classifiers and single classifiers.

	SVM classifier with a 96-sample window size
	Multi-classifier (average of four classifiers)	Single classifier
Sensitivity (%)	88.17	81.30
Precision (%)	88.79	82.72
Accuracy (%)	89.93	81.27
	SVM classifier with a 128-sample window size
	Multi-classifier (average of four classifiers)	Single classifier
Sensitivity (%)	87.81	82.33
Precision (%)	88.88	83.05
Accuracy (%)	90.53	83.71
	SVM classifier with a 160-sample window size
	Multi-classifier (average of four classifiers)	Single classifier
Sensitivity (%)	87.36	82.56
Precision (%)	88.89	82.88
Accuracy (%)	90.74	84.34