Fast Wearable Sensor–Based Foot–Ground Contact Phase Classification Using a Convolutional Neural Network with Sliding-Window Label Overlapping

Fast Wearable Sensor–Based Foot–Ground Contact Phase Classification Using a Convolutional Neural Network with Sliding-Window Label Overlapping

Classification of foot–ground contact phases, as well as the swing phase is essential in biomechanics domains where lower-limb motion analysis is required; this analysis is used for lower-limb rehabilitation, walking gait analysis and improvement, and exoskeleton motion capture. In this study, slidi...

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Bibliographic Details
Main Authors: Haneul Jeon, Sang Lae Kim, Soyeon Kim, Donghun Lee
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Sensors
Subjects:
time-series data
biomechanics
walking gait
CNN
sliding window
wearable sensor
Online Access:https://www.mdpi.com/1424-8220/20/17/4996

Internet

https://www.mdpi.com/1424-8220/20/17/4996

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