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

Table 10

The recognition accuracy rates with each features subset of HMM under the D/R criterion.

Features subset
Activity	1	2	3	4	5	6	7	8	9	10	11	12	13
0	0.900	0.900	0.800	0.800	0.833	0.833	0.800	0.800	0.800	0.667	0.600	0.667	0.667
1	0.000	0.000	0.292	0.271	0.250	0.688	0.417	0.625	0.625	0.667	0.500	0.750	0.750
2	0.000	0.005	0.184	0.256	0.483	0.652	0.758	0.865	0.879	0.918	0.937	0.942	0.961
3	0.000	0.870	0.935	0.957	0.978	0.935	0.913	0.804	0.804	0.826	0.826	0.761	0.761
4	0.000	0.000	0.524	0.524	0.714	0.738	0.857	0.857	0.833	0.881	0.952	0.976	0.976
5	0.000	0.000	0.400	0.700	0.400	0.500	0.400	0.500	0.500	0.600	0.600	0.400	0.200
6	1.000	0.986	1.000	1.000	1.000	0.986	0.986	0.986	0.986	1.000	0.986	0.986	0.971
7	0.000	0.000	0.297	0.703	0.892	0.919	0.919	0.919	0.865	0.892	0.811	0.973	0.946
8	0.090	0.119	0.239	0.373	0.388	0.522	0.522	0.522	0.716	0.746	0.806	0.806	0.821
9	0.000	0.205	0.614	0.705	0.886	0.886	0.932	0.955	0.932	0.909	0.909	0.864	0.864
Total	0.170	0.255	0.447	0.523	0.638	0.747	0.768	0.817	0.837	0.858	0.853	0.878	0.880