Wearable Technology for Robotic Manipulation and Learning by Bin Fang & Fuchun Sun & Huaping Liu & Chunfang Liu & Di Guo

Wearable Technology for Robotic Manipulation and Learning by Bin Fang & Fuchun Sun & Huaping Liu & Chunfang Liu & Di Guo

Author:Bin Fang & Fuchun Sun & Huaping Liu & Chunfang Liu & Di Guo
Language: eng
Format: epub
ISBN: 9789811551246
Publisher: Springer Singapore


In order to recognize the sign language, it is necessary to set appropriate network hyperparameters for SLRNet, including convolution channel number, convolution core size, and convolution step size. The SLRNet hyperparameters determined by experiments are shown in Table 4.1. Table 4.1Hyperparameters of Slrnet

Corresponding part

Layer number

Layer type

Channels/nodes

Kernel size

Stride

Dropout

Activation

Batch normalization

Left-handed

1

Convolutional

48

3 × 3

1

No

ReLU

Yes



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