Next generation low-cost motion capture systems can provide comparable spatial accuracy to high-end systems

Thewlis, Dominic, Bishop, Chris, Daniell, Nathan, and Paul, Gunther (2013) Next generation low-cost motion capture systems can provide comparable spatial accuracy to high-end systems. Journal of Applied Biomechanics, 29 (1). pp. 112-117.

[img] PDF (Published Version) - Published Version
Restricted to Repository staff only

View at Publisher Website: https://doi.org/10.1123/jab.29.1.112
34


Abstract

The objective quantification of three-dimensional kinematics during different functional and occupational tasks is now more in demand than ever. The introduction of new generation of low-cost passive motion capture systems from a number of manufacturers has made this technology accessible for teaching, clinical practice and in small/medium industry. Despite the attractive nature of these systems, their accuracy remains unproved in independent tests. We assessed static linear accuracy, dynamic linear accuracy and compared gait kinematics from a Vicon MX20 system to a Natural Point OptiTrack system. In all experiments data were sampled simultaneously. We identified both systems perform excellently in linear accuracy tests with absolute errors not exceeding 1%. In gait data there was again strong agreement between the two systems in sagittal and coronal plane kinematics. Transverse plane kinematics differed by up to 3? at the knee and hip, which we attributed to the impact of soft tissue artifact accelerations on the data. We suggest that low-cost systems are comparably accurate to their high-end competitors and offer a platform with accuracy acceptable in research for laboratories with a limited budget.

Item ID: 48202
Item Type: Article (Research - C1)
ISSN: 1543-2688
Keywords: 3D kinematics, accuracy, gait analysis
Date Deposited: 04 Jul 2017 01:07
FoR Codes: 11 MEDICAL AND HEALTH SCIENCES > 1106 Human Movement and Sports Science > 110601 Biomechanics @ 100%
SEO Codes: 92 HEALTH > 9202 Health and Support Services > 920203 Diagnostic Methods @ 100%
More Statistics

Actions (Repository Staff Only)

Item Control Page Item Control Page