A machine learning approach to real-time calculation of joint angles during walking and running using self-placed inertial measurement units.

Journal: Gait & posture

PMID: 39914248

Abstract

BACKGROUND: Inter-segment joint angles can be obtained from inertial measurement units (IMUs); however, accurate 3D joint motion measurement, which requires sensor fusion and signal processing, sensor alignment with segments and joint axis calibration, can be challenging to achieve.

Authors

David C Ackland
Zhou Fang

State Key Laboratory of Coal Combustion, Huazhong University of Science and Technology, 430074 Wuhan, Hubei, China.
Damith Senanayake

Department of Mechanical Engineering, University of Melbourne, Melbourne, 3010, VIC, Australia.

Keywords

Adult Female Gait Analysis Generative Adversarial Networks Healthy Volunteers Humans Joints Lower Extremity Machine Learning Male Movement Running Walking Walking Speed Wearable Electronic Devices

External Resources

View on PubMed Access via DOI PubMed (39914248)

A machine learning approach to real-time calculation of joint angles during walking and running using self-placed inertial measurement units.

Abstract

Authors

Keywords

External Resources

Popular Topics

Recent Journals