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Human Activity Recognition Based on Deep-Temporal Learning Using Convolution Neural Networks Features and Bidirectional Gated Recurrent Unit With Features Selection.

Tariq AhmadJinsong WuHathal Salamah AlwageedFaheem KhanJawad KhanYoungmoon Lee
Published in: IEEE Access (2023)
Keyphrases
  • neural network
  • low level
  • human activity recognition
  • feature space
  • feature vectors
  • prior knowledge
  • data sets
  • learning algorithm
  • reinforcement learning
  • active learning
  • activity recognition
  • video clips