Patent ID: 11928858
Assignee: UIF (UNIVERSITY INDUSTRY FOUNDATION), YONSEI UNIVERSITY
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 2:
3. The method of claim 2, wherein the deep learning model includes:
at least one first convolution unit configured to perform convolution processing of the contact surface image to generate a feature map;
at least one pooling unit configured to pool the feature map generated by performing the convolution processing by the first convolution unit;
at least one up-sampling unit configured to up-sample a feature map pooled by a last pooling unit among the at least one pooling unit;
at least one second convolution unit configured to perform convolution processing of the feature map up-sampled by the up-sampling unit;
a softmax unit configured to perform softmax processing of a feature map generated by performing convolution processing by a last second convolution unit among the at least one second convolution unit; and
a concatenate unit configured to concatenate the softmax-processed feature map with the pressure distribution data and output the contact spot distribution and the contact pressure distribution.