Research Article
Sequential Human Activity Recognition Based on Deep Convolutional Network and Extreme Learning Machine Using Wearable Sensors
Table 2
CNN-LSTM architecture parameters.
| Layer | Type | Number of neurons | Kernel size | Stride |
| 1 | Input | 24 × 113 | — | — | 2 | Convolutional | 20 × 113 | 5 × 1 | 1 | 3 | Convolutional | 16 × 113 | 5 × 1 | 1 | 4 | Convolutional | 12 × 113 | 5 × 1 | 1 | 5 | Convolutional | 8 × 113 | 5 × 1 | 1 | 6‐7 | LSTM | 128 | — | — | 8 | Fully connected | n | — | — |
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