Novel deep learning network for gait recognition using multimodal inertial sensors

HIGHLIGHTS

• who: Ling-Feng Shi and collaborators from the Department of Mechanical and Materials Engineering, Queen`s University, Stuart Street have published the research: Novel Deep Learning Network for Gait Recognition Using Multimodal Inertial Sensors, in the Journal: Sensors 2023, 23, x FOR PEER REVIEW of /2023/
• what: In this paper a sequential convolution LSTM network for gait recognition using wearable is proposed which is called SConvLSTM. The authors compare the model with some based on deep learning networks, including CNN, RNN, GRU, and LSTM, and some state-of-the-art studies on UCI-HAR, HuGaDB . . .
  

   

  

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