Research Article

[Retracted] Improving Recognition of Overlapping Activities with Less Interclass Variations in Smart Homes through Clustering-Based Classification

Table 8

Confusion matrix on the Milan dataset without activities balancing using threefold in the combination of hierarchical and ANN.

ActsSlpTltDskDnrGbrKchMbrLhMrRedTvMmdChrEmdMed

Slp82.42.39.42.62.3
Tlt75.57.017.5
Dsk83.34.53.29.0
Dnr80.813.31.24.7
Gbr9.585.55.0
Kch1.086.21.311.5
Mbr2.013.73.281.13.0
Lh1.095.04.0
Mr6.02.480.03.66.41.6
Red3.791.35.0
Tv4.12.910.882.2
Mmd10.03.174.912.0
Chr5.015.04.076.0
Emd10.322.567.2
Med2.54.45.35.81.07.111.560.4

The columns represent the predicted activities, while the rows represent the actual activities. The performance of overlapping activities is highlighted in bold.