Feature Selections Using Minimal Redundancy Maximal Relevance Algorithm for Human Activity Recognition in Smart Home Environments

Table 3

The recognition accuracy rates with all features subsets of HMM based on maximum relevance selection.

Features subset
Activity	1	2	3	4	5	6	7	8	9	10	11	12	13
0	0.900	0.900	0.900	0.700	0.700	0.767	0.767	0.767	0.767	0.700	0.733	0.667	0.667
1	0.000	0.000	0.104	0.521	0.896	0.938	0.896	0.833	0.771	0.792	0.750	0.750	0.750
2	0.000	0.005	0.391	0.667	0.797	0.860	0.870	0.884	0.913	0.918	0.928	0.942	0.961
3	0.000	0.174	0.739	0.804	0.804	0.783	0.783	0.804	0.761	0.761	0.761	0.761	0.761
4	0.000	0.000	0.000	0.524	0.929	0.976	0.976	0.976	0.976	1.000	1.000	0.976	0.976
5	0.000	0.000	0.000	0.200	0.300	0.300	0.300	0.300	0.200	0.400	0.400	0.400	0.200
6	1.000	0.928	0.942	0.986	0.986	0.986	1.000	0.986	0.986	0.986	0.986	0.986	0.971
7	0.000	0.000	0.000	0.514	0.973	0.973	0.973	0.946	0.946	0.973	0.919	0.973	0.946
8	0.090	0.149	0.179	0.313	0.313	0.701	0.701	0.701	0.731	0.731	0.776	0.806	0.821
9	0.000	0.386	0.432	0.750	0.932	0.568	0.568	0.659	0.909	0.932	0.864	0.864	0.864
Total	0.170	0.212	0.405	0.643	0.790	0.837	0.838	0.843	0.865	0.873	0.872	0.878	0.880