Research Article
Feature Selections Using Minimal Redundancy Maximal Relevance Algorithm for Human Activity Recognition in Smart Home Environments
Table 4
The information values of feature groups under the D-R criterion.
| Feature | Iteration | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 |
| 0 | 1.188 | 0.688 | 0.047 | 1.173 | 0.863 | 1.490 | 1.200 | 1.321 | 1.508 | 1.535 | 1.168 | 1.183 | 0.530 | 1 | 0.476 | 0.213 | −0.160 | −0.009 | 0.441 | 0.774 | 0.310 | 0.146 | −1.989 | — | −0.032 | 0.607 | 0.134 | 2 | 0.376 | 0.230 | −0.075 | 0.281 | 0.434 | — | 0.306 | 0.343 | −0.594 | — | 0.261 | 0.363 | 0.151 | 3 | 0.520 | 0.288 | −0.042 | 0.430 | — | — | 0.440 | 0.338 | −0.041 | — | 0.453 | 0.520 | 0.195 | 4 | 0.425 | 0.268 | −0.030 | 0.488 | — | — | 0.451 | 0.428 | 0.206 | — | 0.518 | — | 0.198 | 5 | 0.474 | 0.299 | −0.023 | 0.452 | — | — | 0.456 | 0.458 | 0.238 | — | — | — | 0.216 | 6 | — | 0.173 | −0.022 | 0.486 | — | — | 0.454 | 0.479 | 0.330 | — | — | — | 0.196 | 7 | — | 0.206 | −0.019 | — | — | — | 0.484 | 0.482 | 0.326 | — | — | — | 0.207 | 8 | — | 0.207 | −0.016 | — | — | — | — | 0.498 | 0.365 | — | — | — | 0.202 | 9 | — | 0.196 | −0.025 | — | — | — | — | — | 0.364 | — | — | — | 0.188 | 10 | — | 0.196 | −0.040 | — | — | — | — | — | — | — | — | — | 0.187 | 11 | — | — | −0.040 | — | — | — | — | — | — | — | — | — | 0.190 |
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