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. 2022 Oct 19;16:986928. doi: 10.3389/fnhum.2022.986928

TABLE 3.

Separable convolutional neural network (SepCNN) architecture for within-participant recognition.

Layer Kernel Size Options Output
Input 200 × 30
BatchNorm1D 200 × 30
DepthConv1D 30 10 Stride = 6, Padding = 4 34 × 30
BatchNorm1D 34 × 30
PointConv1D 4 1 Stride = 1, Padding = 0 34 × 4
Activation Tanh 34 × 4
Flatten 136
Activation Sigmoid 1