Research Article
[Retracted] Improving Recognition of Overlapping Activities with Less Interclass Variations in Smart Homes through Clustering-Based Classification
Table 1
Comparative summary of state-of-the-art methods for activity recognition. All features mean no explicit features are selected.
| | References | [15] | [21] | [31] | [22] | [27] | [7] | [41] | [38] | [40] | [39] | [23] |
| | Feature selection | All feature | ✓ | — | ✓ | — | ✓ | ✓ | ✓ | ✓ | — | ✓ | ✓ |
| | Approach | Selected | — | ✓ | — | ✓ | — | — | — | — | ✓ | — | — | | K-means | ✓ | ✓ | — | — | — | — | — | — | ✓ | — | — | | HMM | ✓ | — | — | — | — | ✓ | — | ✓ | — | — | — | | CRF | — | — | — | — | — | ✓ | — | ✓ | — | — | — | | DCNN | — | — | — | — | — | — | — | — | — | ✓ | — | | VSM | — | — | — | — | — | — | — | — | — | — | ✓ | | DBSCAN | — | — | — | — | ✓ | — | ✓ | — | — | — | — | | SVM | — | ✓ | — | — | — | — | — | — | — | — | — | | D.S.T.o.E | — | — | — | ✓ | — | — | — | — | ✓ | — | — | | LDA | — | — | — | — | — | — | — | ✓ | — | — | — | | AdaBoost | — | — | — | — | — | — | — | ✓ | — | — | — | | NBC | — | — | ✓ | — | — | ✓ | — | — | — | — | — | | Itemset | — | — | — | — | ✓ | — | — | — | — | — | — |
| | Datasets | CASAS | ✓ | — | — | — | — | ✓ | — | — | ✓ | ✓ | ✓ | | Kasteren | — | ✓ | — | — | ✓ | — | — | — | ✓ | — | ✓ | | SAD | — | — | — | — | — | — | — | ✓ | — | — | — | | UCI | — | — | — | — | — | — | — | ✓ | — | — | — | | HHAR | — | — | — | — | — | — | — | ✓ | — | — | — | | Self | — | — | ✓ | ✓ | — | — | ✓ | — | — | — | — |
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