Semg-based continuous estimation of finger kinematics via large-scale temporal convolutional network

HIGHLIGHTS

• who: Chao Chen et al. from the Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, ChinaSchool of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China have published the research: sEMG-Based Continuous Estimation of Finger Kinematics via Large-Scale Temporal Convolutional Network, in the Journal: (JOURNAL) of 20/05/2021
• what: The authors propose a novel method that applies a temporal convolutional network (TCN) to sEMG-based continuous estimation. After analyzing the relationship between the convolutional kernel's size and the lengths of atomic segments (defined in this paper) the authors . . .
  

   

  

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