Semg-upper limb interaction force estimation framework based on residual network and bidirectional long short-term memory network

HIGHLIGHTS

• who: Wei Lu et al. from the Institute of Intelligent Machines, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, China Department of Science Island, University of Science and Technology of China, Hefei, China have published the research work: sEMG-Upper Limb Interaction Force Estimation Framework Based on Residual Network and Bidirectional Long Short-Term Memory Network, in the Journal: (JOURNAL)
• what: Our framework can capture the local dependence between the temporal dimension and this work, present anfor elbow interaction force estimation algorithm to establish spatialIn location.
• how: Based on the advantages . . .
  

   

  

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