Details
Presenter(s)
![Kai Meng Headshot](https://confcats-catavault.s3.amazonaws.com/CATAVault/ieeecass/master/files/styles/cc_user_photo/s3/user-pictures/11212.png?h=b3b1b9cd&itok=MkHErboT)
Display Name
Kai Meng
- Affiliation
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AffiliationFudan University
- Country
Abstract
Pulse localization is the basic task of the pulse diagnosis with robot. Using neural network for localization can not only reduce the contact between the machine and the subject, reduce the discomfort of the process, but also reduce the preparation.We propose a novel method,spoon fully Convolutional networks (SFCN) with the landmarkfitting method for pulse localization. SFCN includes the fully Convolutional networks which is like the spoon. While the landmark fitting method find the pulse in the sub-pixels.