Machine Learning for Optical Motion Capture-Driven Musculoskeletal Modelling from Inertial Motion Capture Data

• Published in: Bioengineering (Basel) Vol. 10; no. 5; p. 510
• Main Authors: Dasgupta, Abhishek, Sharma, Rahul, Mishra, Challenger, Nagaraja, Vikranth Harthikote
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 24.04.2023; MDPI
• Subjects: Bioengineering; Biomechanics; Decision making; feed-forward neural network; gated recurrent unit; In vivo methods and tests; inertial motion capture; Kinematics; Learning algorithms; linear model; Long short-term memory; Machine learning; Modelling; Motion capture; Neural networks; Recurrent neural networks; Sensors; Software; United Kingdom; Netherlands; recurrent neural network; feed-forward neural network; optical motion capture; gated recurrent unit; linear model; inertial motion capture; machine learning; musculoskeletal modelling; upper extremity; long short-term memory

Marker-based Optical Motion Capture (OMC) systems and associated musculoskeletal (MSK) modelling predictions offer non-invasively obtainable insights into muscle and joint loading at an in vivo level, aiding clinical decision-making. However, an OMC system is lab-based, expensive, and requires a lin...