Research Article
Fusion of Deep Features from 2D-DOST of fNIRS Signals for Subject-Independent Classification of Motor Execution Tasks
Table 7
The structure of modified MobileNet used in joint fusion.
| Layer input | Input | Filter size/stride | Output |
| Conv. | 128 × 16 × 1 | 3 × 3 × 32/2 × 1 | 64 × 16 × 32 | Conv. dw | 64 × 16 × 32 | 3 × 3 × 32/1 × 1 | 64 × 16 × 32 | Conv. | 64 × 16 × 32 | 32 × 1 × 64/1 × 1 | 64 × 16 × 64 | Conv. dw | 64 × 16 × 64 | 3 × 3 × 64/2 × 1 | 32 × 16 × 64 | Conv. | 32 × 16 × 64 | 32 × 1 × 128/1 × 1 | 32 × 16 × 128 | Conv. dw | 32 × 16 × 128 | 3 × 3 × 128/1 × 1 | 32 × 16 × 128 | Conv. | 32 × 16 × 128 | 32 × 1 × 128/1 × 1 | 32 × 16 × 128 | Conv. dw | 32 × 16 × 128 | 3 × 3 × 128/2 × 1 | 16 × 16 × 128 | Conv. | 16 × 16 × 128 | 16 × 1 × 256/1 × 1 | 16 × 16 × 256 | Conv. dw | 16 × 16 × 256 | 3 × 3 × 256/1 × 1 | 16 × 16 × 256 | Conv. | 16 × 16 × 256 | 16 × 1 × 256/1 × 1 | 16 × 16 × 256 | Conv. dw | 16 × 16 × 256 | 3 × 3 × 256/2 × 2 | 8 × 8 × 256 | Conv. | 8 × 8 × 256 | 8 × 1 × 512/1 × 1 | 8 × 8 × 512 | Conv. dw | 8 × 8 × 512 | 3 × 3 × 512/1 × 1 | 8 × 8 × 512 | 5× | Conv. | 8 × 8 × 512 | 8 × 1 × 512/1 × 1 | 8 × 8 × 512 | Conv. dw | 8 × 8 × 512 | 3 × 3 × 512/2 × 2 | 4 × 4 × 512 | Conv. | 4 × 4 × 512 | 4 × 1 × 1024/1 × 1 | 4 × 4 × 1024 | Conv. dw | 4 × 4 × 1024 | 3 × 3 × 1024/1 × 1 | 4 × 4 × 1024 | Conv. | 4 × 4 × 1024 | 4 × 1 × 1024/1 × 1 | 4 × 4 × 1024 | Average pooling | 4 × 4 × 1024 | Pool 4 × 4 | 1 × 1 × 1024 | Flatten | 1 × 1 × 1024 | — | 1024 × 1 | Fully connected | 1024 × 1000 | — | 1024 × 1 | Softmax | Classifier | — | × 1 |
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