Table 2. Comparison of evaluation metrics of HGR framework over Jester dataset.

HGR	ANN			Adaboost			Decision Trees
Activities	Precision	Recall	F-measure	Precision	Recall	F-measure	Precision	Recall	F-1 score
J1	0.909	0.900	0.904	0.883	0.870	0.876	0.871	0.880	0.875
J2	0.884	0.920	0.902	0.876	0.900	0.888	0.864	0.890	0.877
J3	0.927	0.900	0.913	0.912	0.910	0.911	0.903	0.910	0.906
J4	0.921	0.940	0.93	0.908	0.900	0.904	0.901	0.900	0.900
J5	0.880	0.880	0.880	0.860	0.850	0.855	0.842	0.850	0.846
J6	0.893	0.910	0.901	0.878	0.880	0.879	0.874	0.820	0.846
J7	0.873	0.900	0.886	0.864	0.870	0.867	0.862	0.860	0.861
J8	0.895	0.860	0.877	0.889	0.910	0.899	0.879	0.890	0.884
J9	0.883	0.910	0.896	0.875	0.930	0.902	0.860	0.880	0.870
J10	0.888	0.880	0.884	0.878	0.890	0.884	0.865	0.840	0.852
J11	0.866	0.910	0.887	0.860	0.900	0.88	0.848	0.860	0.854
J12	0.870	0.870	0.870	0.862	0.850	0.856	0.857	0.880	0.868
J13	0.936	0.890	0.912	0.918	0.890	0.904	0.908	0.900	0.904
Mean	0.894	0.897	0.895	0.881	0.888	0.885	0.871	0.873	0.872