HIGHLIGHTS
- who: Peter Ardhianto et al. from the Department of Visual Communication Design, Soegijapranata Catholic University, Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Champaign, IL, USA have published the paper: A Deep Learning Method for Foot Progression Angle Detection in Plantar Pressure Images, in the Journal: Sensors 2022, 2786 of 21/02/2021
- what: This study is intended to examine the effectiveness of deep learning performance on FPA measurements which can be beneficial in excessive in-toeing, or out-toeing foot rotation which alters gait appearance . This study compared three different versions, i . . .
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