Research Article
Human Activity Recognition Based on a Modified Capsule Network
Table 8
A comparison of the proposed approach with other studies on WISDM.
| Datasets | Model | Accuracy (%) |
| WISDM | DNN [23] | 90 | Capsule and LoRa [29] | 95.2 | 1D-HARCapsNet [30] | 98.67 | CapsGaNet [31] | 96.8 | 2D CNN [43] | 89.67 | Multichannel CNN-GRU [44] | 96.41 | LSTM-CNN [45] | 95.85 | Multi-input CNN-GRU [46] | 97.21 | DCNN [47] | 94.18 | Multihead convolutional attention [48] | 96.4 | MCN (this paper) | 98.21 |
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