Quantitative gait feature assessment on two-dimensional body axis projection planes converted from three-dimensional coordinates estimated witha deep learning smartphone app

HIGHLIGHTS

• who: Shigeki Yamada et al. from the Department of Neurosurgery, Nagoya City University Graduate School of Medical Science, Nagoya, Japan have published the research: Quantitative Gait Feature Assessment on Two-Dimensional Body Axis Projection Planes Converted from Three-Dimensional Coordinates Estimated witha Deep Learning Smartphone App, in the Journal: Sensors 2023, 23, 617 Sensors 2023, 23, 617 of /2023/
• what: This study has some limitations that warrant discussion.
• how: As the opthe heel to toes could not distinguish the wide-based and normal gaits . The reason why the result was inconsistent with previous . . .
  

   

  

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