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Leveraging IMU Data for Accurate Exercise Performance Classification and Musculoskeletal Injury Risk Screening
Date Issued
20 August 2016
Date Available
23T14:09:24Z August 2016
Abstract
Inertial measurement units (IMUs) are becoming increasingly prevalent as a method for low cost and portable biomechanical analysis. However, to date they have not tended to be accepted into routine clinical practice. This is often due to the disconnect between translating the data collected by the sensors into meaningful and actionable information for end users. This paper outlines the work completed by our group in attempting to achieve this. We discuss the conceptual framework involved in our work, the methodological approach taken in analysing sensor signals and discuss possible application models. The work completed by our group indicates that IMU based systems have the potential to bridge the gap between laboratory and clinical movement analysis. Future work will focus on collecting a diverse range of movement data and using more sophisticated data analysis techniques to refine systems.
Sponsorship
Science Foundation Ireland
Type of Material
Conference Publication
Publisher
IEEE
Copyright (Published Version)
2016 IEEE
Keywords
Web versions
Language
English
Status of Item
Peer reviewed
Conference Details
38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Florida, United States of America, 17-20 August 2016
This item is made available under a Creative Commons License
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