A Deep Learning Method for Foot Progression Angle Detection in Plantar Pressure Images

A Deep Learning Method for Foot Progression Angle Detection in Plantar Pressure Images

Foot progression angle (FPA) analysis is one of the core methods to detect gait pathologies as basic information to prevent foot injury from excessive in-toeing and out-toeing. Deep learning-based object detection can assist in measuring the FPA through plantar pressure images. This study aims to es...

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Bibliographic Details
Main Authors: Peter Ardhianto, Raden Bagus Reinaldy Subiakto, Chih-Yang Lin, Yih-Kuen Jan, Ben-Yi Liau, Jen-Yung Tsai, Veit Babak Hamun Akbari, Chi-Wen Lung
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Sensors
Subjects:
YOLO
object detection
foot problems
angle parameter
foot clinic
Online Access:https://www.mdpi.com/1424-8220/22/7/2786

Internet

https://www.mdpi.com/1424-8220/22/7/2786

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