Fusion of Deep Features from 2D-DOST of fNIRS Signals for Subject-Independent Classification of Motor Execution Tasks

Table 1

The structure of MobileNet.

Layer type/stride		Filter shape	Input size
Conv./2		3 × 3 × 3 × 32	224 × 224 × 3
Conv. dw/1		3 × 3 × 32 dw	112 × 112 × 32
Conv./1		1 × 1 × 32 × 64	112 × 112 × 32
Conv. dw/2		3 × 3 × 64 dw	112 × 112 × 64
Conv./1		1 × 1 × 64 × 128	56 × 56 × 64
Conv. dw/1		3 × 3 × 128 dw	56 × 56 × 128
Conv./1		1 × 1 × 128 × 128	56 × 56 × 128
Conv. dw/2		3 × 3 × 256 dw	56 × 56 × 128
Conv./1		1 × 1 × 128 × 256	28 × 28 × 128
Conv. dw/1		3 × 3 × 256 dw	28 × 28 × 256
Conv./1		1 × 1 × 256 × 256	28 × 28 × 256
Conv. dw/2		3 × 3 × 256 dw	28 × 28 × 256
Conv./1		1 × 1 × 256 × 512	14 × 14 × 256
5×	Conv. dw/1	3 × 3 × 512 dw	14 × 14 × 512
	Conv./1	1 × 1 × 512 × 512	14 × 14 × 512
Conv. dw/2		3 × 3 × 512 dw	14 × 14 × 512
Conv./1		1 × 1 × 512 × 1024	7 × 7 × 512
Conv. dw/2		3 × 3 × 1024 dw	7 × 7 × 1024
Conv./1		1 × 1 × 1024 × 1024	7 × 7 × 1024
Average pooling/1		Pool 7 × 7	7 × 7 × 1024
Fully connected/1		1024 × 1000	1 × 1 × 1024
Softmax/1		Classifier	1000 × 1