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 inputInputFilter size/strideOutput

Conv.128 × 16 × 13 × 3 × 32/2 × 164 × 16 × 32
Conv. dw64 × 16 × 323 × 3 × 32/1 × 164 × 16 × 32
Conv.64 × 16 × 3232 × 1 × 64/1 × 164 × 16 × 64
Conv. dw64 × 16 × 643 × 3 × 64/2 × 132 × 16 × 64
Conv.32 × 16 × 6432 × 1 × 128/1 × 132 × 16 × 128
Conv. dw32 × 16 × 1283 × 3 × 128/1 × 132 × 16 × 128
Conv.32 × 16 × 12832 × 1 × 128/1 × 132 × 16 × 128
Conv. dw32 × 16 × 1283 × 3 × 128/2 × 116 × 16 × 128
Conv.16 × 16 × 12816 × 1 × 256/1 × 116 × 16 × 256
Conv. dw16 × 16 × 2563 × 3 × 256/1 × 116 × 16 × 256
Conv.16 × 16 × 25616 × 1 × 256/1 × 116 × 16 × 256
Conv. dw16 × 16 × 2563 × 3 × 256/2 × 28 × 8 × 256
Conv.8 × 8 × 2568 × 1 × 512/1 × 18 × 8 × 512
Conv. dw8 × 8 × 5123 × 3 × 512/1 × 18 × 8 × 512
Conv.8 × 8 × 5128 × 1 × 512/1 × 18 × 8 × 512
Conv. dw8 × 8 × 5123 × 3 × 512/2 × 24 × 4 × 512
Conv.4 × 4 × 5124 × 1 × 1024/1 × 14 × 4 × 1024
Conv. dw4 × 4 × 10243 × 3 × 1024/1 × 14 × 4 × 1024
Conv.4 × 4 × 10244 × 1 × 1024/1 × 14 × 4 × 1024
Average pooling4 × 4 × 1024Pool 4 × 41 × 1 × 1024
Flatten1 × 1 × 10241024 × 1
Fully connected1024 × 10001024 × 1
SoftmaxClassifier × 1