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CHA-Sens: An End-to-End Comprehensive Residual Convolution Framework for CSI-based Human Activity Sensing.

Fujia ZhouWei ZhangGuangxu ZhuHang LiQingjiang Shi
Published in: CSCWD (2023)
Keyphrases
  • end to end
  • human activities
  • real time
  • computer vision
  • application layer
  • admission control
  • feature selection
  • software engineering
  • sensor data
  • activity recognition
  • human interactions
  • internet protocol