Machine Learning Strategies for Low-Cost Insole-Based Prediction of Center of Gravity during Gait in Healthy Males

Machine Learning Strategies for Low-Cost Insole-Based Prediction of Center of Gravity during Gait in Healthy Males

Whole-body center of gravity (CG) movements in relation to the center of pressure (COP) offer insights into the balance control strategies of the human body. Existing CG measurement methods using expensive measurement equipment fixed in a laboratory environment are not intended for continuous monito...

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Bibliographic Details
Main Authors: Choi, A. (Author), Jung, H. (Author), Lee, D. (Author), Moon, J. (Author), Mun, J.H (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
balance
Bi-directional
bi-directional long short-term memory
Bi-directional long short-term memory
Biophysics
Brain
center of gravity
Center of gravity
Cost effectiveness
Cost engineering
Costs
Daily lives
feature engineering
Feature engineerings
Forecasting
gait analysis
Gait analysis
gait phase classification
Gait phase classifications
Gravitation
insole system
Insole system
Learning algorithms
Long short-term memory
Machine-learning
Mean square error
Performance
Prediction modelling
Semantics
Trajectories
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