Research Article

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

Table 13

Confusion matrix on the Aruba dataset with activities balancing using threefold in combination of fuzzy C-means and ANN.

ActsSlpTltMPRlxHKEatWDLHEHWKRes

Slp97.92.1
Tlt98.02.0
MP85.22.42.110.2
Rlx0.96.387.83.81.2
HK98.31.7
Eat4.02.093.01.0
WD10.689.4
LH91.58.5
EH9.990.1
WK1.12.196.4
Res1.08.490.6

The columns represent the predicted activities, while the rows represent the actual activities. The performance of overlapping activities is highlighted in bold. Key. acts: activities, Tlt: bed to toilet, Eat: eating, EH: enter home, HK: housekeeping, LH: leave home, MP: meal preparation, Rlx: relax, Res: resperate, Slp: sleeping, WD: wash dishes, and WK: work.