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An end-to-end lower limb activity recognition framework based on sEMG data augmentation and enhanced CapsNet.

Changhe ZhangYangan LiZidong YuXiaolin HuangJiang XuChao Deng
Published in: Expert Syst. Appl. (2023)
Keyphrases
  • end to end
  • activity recognition
  • human activities
  • data sets
  • sensory data
  • human activity recognition
  • real time
  • training data
  • data mining
  • high dimensional
  • data points
  • collaborative filtering
  • wearable sensors