Deep multi-scale residual connected neural network model for intelligent athlete balance control ability evaluation

HIGHLIGHTS

• who: Nannan Xu and colleagues from the Sports Training Institute, Shenyang Sport University, Shenyang, China have published the Article: Deep Multi-Scale Residual Connected Neural Network Model for Intelligent Athlete Balance Control Ability Evaluation, in the Journal: Computational Intelligence and Neuroscience of 26/05/2022
• what: This study proposes a deep learning-based athlete balance control ability evaluation method through processing the time-series movement pressure measurement data. An endto-end intelligent morphological classification method for intracranial pressure pulse waveforms was proposed in the studies , where the deep learning method was applied for automatic feature . . .
  

   

  

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