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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