Table 8 Performance comparison (in terms of classification accuracies) of our proposed wrapper-based deep feature optimization method with some existing HAR works implemented on the HARTH, KU-HAR, and HuGaDB datasets.
Dataset | Researcher | Accuracy(%) |
|---|---|---|
HARTH | Logacjov et al.14 | 81 |
Proposed wrapper-based deep feature optimization HAR framework | 88.89 | |
KU-HAR | Sikder and Nahid15 | 89.67 |
Proposed wrapper-based deep feature optimization HAR framework | 97.86 | |
HuGaDB | Gochoo et al.36 | 92.5 |
Logacjov et al.14 | 81 | |
Filtjens et al.41 | 83.8 | |
Javeed et al.37 | 92.5 | |
Fang et al.38 | 79.25 | |
Sun et al.39 | 88 | |
Kumari et al.40 | 91.1 | |
Proposed wrapper-based deep feature optimization HAR framework | 93.82 |