A comparison of two commercially available motion capture systems for gait analysis : high end vs low-cost
Thewlis, Dominic, Bishop, Chris, Daniell, Nathan, & Paul, Gunther (2011) A comparison of two commercially available motion capture systems for gait analysis : high end vs low-cost. In 23rd Congress of the International Society of Biomechanics, 3-7 July 2011, Universite Libre de Bruxelles, Brussels.
In 1999 Richards compared the accuracy of commercially available motion capture systems commonly used in biomechanics. Richards identified that in static tests the optical motion capture systems generally produced RMS errors of less than 1.0 mm. During dynamic tests, the RMS error increased to up to 4.2 mm in some systems. In the last 12 years motion capture systems have continued to evolve and now include high-resolution CCD or CMOS image sensors, wireless communication, and high full frame sampling frequencies. In addition to hardware advances, there have also been a number of advances in software, which includes improved calibration and tracking algorithms, real time data streaming, and the introduction of the c3d standard. These advances have allowed the system manufactures to maintain a high retail price in the name of advancement. In areas such as gait analysis and ergonomics many of the advanced features such as high resolution image sensors and high sampling frequencies are not required due to the nature of the task often investigated. Recently Natural Point introduced low cost cameras, which on face value appear to be suitable as at very least a high quality teaching tool in biomechanics and possibly even a research tool when coupled with the correct calibration and tracking software. The aim of the study was therefore to compare both the linear accuracy and quality of angular kinematics from a typical high end motion capture system and a low cost system during a simple task.
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|Item Type:||Conference Paper|
|Keywords:||Motion Tracking System, Motion Analysis, Gait Analysis|
|Subjects:||Australian and New Zealand Standard Research Classification > MEDICAL AND HEALTH SCIENCES (110000)|
|Divisions:||Current > QUT Faculties and Divisions > Faculty of Health|
Current > Institutes > Institute of Health and Biomedical Innovation
Current > Schools > School of Public Health & Social Work
|Copyright Owner:||Copyright 2011 [please consult the author]|
|Deposited On:||13 Mar 2012 09:47|
|Last Modified:||13 Mar 2012 14:30|
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