Research Article
Social Touch Gesture Recognition Using Convolutional Neural Network
Table 1
Meta parameters of our CNN architecture.
| | Layer number | Element | Parameter | Value |
| | 1 | Convolutional filter | Input channels | 8 × 8 × 85 | | Size | 3 × 3 | | Stride | 1 | | Pad | 1 | | Max pooling | Size | 2 × 2 | | Pad | 2 |
| | 2 | Convolutional filter | Input channels | 64 | | Size | 2 × 2 | | Stride | 1 | | Pad | 1 | | Max pooling | Size | 2 × 2 | | Pad | 2 |
| | 3 | Convolutional filter | Input channels | 128 | | Size | 3 × 3 | | Stride | 1 | | Pad | 1 | | Max pooling | Size | 2 × 2 | | Pad | 2 |
| | 4 | Fully connected | Input to layer | 256 × 2 × 2 | | Output from layer | 512 |
| | 5 | Softmax | Output units | 14 |
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