Hybrid optimized gru-ecnn models for gait recognition with wearable iot devices

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  • who: K. M. Monica et al. from the School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, Tamilnadu, India Department of Computer Science and Engineering, Kebri Dehar University, Kebri Dehar, Ethiopia have published the research work: Hybrid Optimized GRU-ECNN Models for Gait Recognition with Wearable IOT Devices, in the Journal: Computational Intelligence and Neuroscience of 13/05/2022
  • what: In this research paper the authors proposed a hybrid gated recurrent unit (GRU) based on BAT-inspired extreme convolutional networks (BAT-ECN) for the effective recognition of human activities using gait data. (4 . . .

     

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