Effect of sensor number and location on accelerometry-based vertical ground reaction force estimation during walking

HIGHLIGHTS

• What: The authors report effect sizes for ANOVAs as partial eta squared (ηp2) and post-hoc analyses using eta squared (η2). The authors show a heatmap of the model coefficient weights for the input (waist acceleration or WAcc, vertical axis) and output (vGRF, horizontal axis). By calculating and displaying the model weights, the authors aim to work toward a better understanding of how machine_learning models make predictions, and what input features are most influential, with the hope of understanding and explaining model estimates.
• Who: Ricky Pimentel and colleagues from the Joint Department of Biomedical Engineering . . .
  

   

  

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