Real-Time Prediction of Joint Forces by Motion Capture and Machine Learning

Real-Time Prediction of Joint Forces by Motion Capture and Machine Learning

Conventional biomechanical modelling approaches involve the solution of large systems of equations that encode the complex mathematical representation of human motion and skeletal structure. To improve stability and computational speed, being a common bottleneck in current approaches, we apply machi...

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Bibliographic Details
Main Authors: Georgios Giarmatzis, Evangelia I. Zacharaki, Konstantinos Moustakas
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Sensors
Subjects:
contact force prediction
musculoskeletal modeling
support vector regression
artificial neural networks
gait analysis
Online Access:https://www.mdpi.com/1424-8220/20/23/6933

Internet

https://www.mdpi.com/1424-8220/20/23/6933

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