Table 8. Classification results of three classifiers using all acceleration sensors.

	KNN (K = 3)			Rotation Forest			Neural Network
Activity	Precision	Recall	F-measure	Precision	Recall	F-measure	Precision	Recall	F-measure
A1	0.993	0.990	0.992	0.995	0.993	0.994	0.995	0.988	0.992
A2	0.968	0.972	0.970	0.979	0.979	0.979	0.968	0.966	0.967
A3	0.942	0.989	0.965	0.956	0.983	0.969	0.941	0.974	0.957
A4	0.990	0.993	0.992	0.999	0.990	0.994	0.988	0.996	0.992
A5	0.996	0.975	0.985	1.000	0.971	0.985	0.985	0.975	0.980
A6	1.000	0.996	0.998	0.998	0.994	0.996	0.994	0.994	0.994
A7	0.996	0.989	0.993	0.993	0.987	0.990	0.988	0.989	0.988
A8	0.981	0.972	0.976	0.969	0.972	0.970	0.962	0.946	0.954
A9	0.983	0.934	0.958	0.964	0.934	0.949	0.983	0.912	0.946
A10	0.987	0.983	0.985	0.987	0.981	0.984	0.989	0.977	0.983
A11	0.973	0.994	0.984	0.959	0.994	0.976	0.967	0.982	0.975
A12	1.000	0.937	0.967	1.000	0.951	0.975	0.906	0.951	0.928
Average	0.983	0.982	0.982	0.983	0.982	0.982	0.976	0.976	0.976