Validation of a single camera three-dimensional motion tracking system

JOURNAL OF BIOMECHANICS

卷:43

Article

Weinhandl, Joshua T.¹  Armstrong, Brian S. R.²  Kusik, Todd P.²  Barrows, Robb T.²  O'Connor, Kristian M.¹ 

[1] Univ Wisconsin, Dept Human Movement Sci, Milwaukee, WI 53201 USA

[2] Univ Wisconsin, Dept Elect Engn, Milwaukee, WI 53201 USA

关键词: Motion capture;    Kinematics;    Gait analysis;    Anterior cruciate ligament;   

DOI  :  10.1016/j.jbiomech.2009.12.025

来源: Elsevier

【 摘 要 】

The ability to analyze human movement is an essential tool of biomechanical analysis for both sport and clinical applications. Traditional 3D motion capture technology limits the feasibility of large scale data collections and therefore the ability to address clinical questions. Ideally, the measurement system/protocol should be non-invasive, mobile, generate nearly instantaneous feedback to the clinician and athlete, and be relatively inexpensive. The retro-grate reflector (RGR) is a new technology that allows for three-dimensional motion capture using a single camera. Previous studies have shown that orientation and position information recorded by the RGR system has high measurement precision and is strongly correlated with a traditional multi-camera system across a series of static poses. The technology has since been refined to record moving pose information from multiple RGR targets at sampling rates adequate for assessment of athletic movements. The purpose of this study was to compare motion data for a standard athletic movement recorded simultaneously with the RGR and multi-camera (Motion Analysis Eagle) systems. Nine subjects performed three single-leg land-and-cut maneuvers. Thigh and shank three-dimensional kinematics were collected With the RGR and Eagle camera systems simultaneously at 100 Hz. Results showed a strong agreement between the two systems in all three planes, which demonstrates the ability of the RGR system to record moving pose information from multiple RGR targets at a sampling rate adequate for assessment of human movement and supports the ability to use the RGR technology as a valid 3D motion capture system. (C) 2010 Elsevier Ltd. All rights reserved.

【 授权许可】

Free