Abstract
This article presents the common imaging techniques that are used in biomechanics and movement sciences. The two main optical motion capture techniques that are discussed are marker-based and markerless systems. The marker-based systems rely on the recording and analysis of images of multiple distinguishable markers placed on the moving objects. In contrast, the markerless systems employ image processing and machine learning to first detect the object of interest in the captured images and then use such information to calculate the movement of the objects. This article also discusses the common workflow to analyze the movement of body segments, which can be used in the clinical and biomechanical analysis of movements.
Original language | English (US) |
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Title of host publication | Encyclopedia of Biomedical Engineering |
Publisher | Elsevier |
Pages | 488-500 |
Number of pages | 13 |
Volume | 1-3 |
ISBN (Electronic) | 9780128051443 |
ISBN (Print) | 9780128048290 |
DOIs | |
State | Published - Jan 1 2019 |
Externally published | Yes |
Keywords
- Human motion analysis
- Human motion capture systems
- Image processing
- Machine learning
- Marker-based motion capture
- Markerless motion capture
ASJC Scopus subject areas
- General Biochemistry, Genetics and Molecular Biology