Research Article
CNN-LSTM-Based Late Sensor Fusion for Human Activity Recognition in Big Data Networks
Table 5
The overall performance of all models for PAMAP2 and RealDisp datasets.
| | PAMAP2 | RealDisp | Model | | | Acc | | | Acc |
| CNN-EF | 83.98 | 84.48 | 84.78 | 89.78 | 89.87 | 90.61 | CNN-LF | 86.85 | 88.38 | 88.76 | 91.21 | 91.84 | 91.80 | LSTM | 87.98 | 88.29 | 88.20 | 88.25 | 88.89 | 88.93 | CNN-LSTM-EF | 88.56 | 88.95 | 89.23 | 91.24 | 91.95 | 92.21 | CNN-LSTM-LF | 92.32 | 92.15 | 92.49 | 92.43 | 93.78 | 93.85 |
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