EconPapers    
Economics at your fingertips  
 

A Kinect-based movement assessment system: marker position comparison to Vicon

Julia K. Nichols, Mark P. Sena, Jennifer L. Hu, Oliver M. O’Reilly, Brian T. Feeley and Jeffrey C. Lotz

Computer Methods in Biomechanics and Biomedical Engineering, 2017, vol. 20, issue 12, 1289-1298

Abstract: Accurate movement analysis systems are prohibitive in cost and size to be accessible to the general population, while commercially available, affordable systems lack the accuracy needed for clinical relevance. To address these limitations, we developed a Depth Camera Movement Assessment System (DCMAS) featuring an affordable, widely available depth camera (e.g. Microsoft Kinect). After examining 3D position data for markers adhered to participants and a flat surface, captured with both DCMAS and the industry standard Vicon system, we demonstrated DCMAS obtained measurements comparable, within soft tissue artifact, to the Vicon system, paving the way for a breakthrough technology in preventative medicine.

Date: 2017
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/10255842.2017.1340464 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:gcmbxx:v:20:y:2017:i:12:p:1289-1298

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/gcmb20

DOI: 10.1080/10255842.2017.1340464

Access Statistics for this article

Computer Methods in Biomechanics and Biomedical Engineering is currently edited by Director of Biomaterials John Middleton

More articles in Computer Methods in Biomechanics and Biomedical Engineering from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-20
Handle: RePEc:taf:gcmbxx:v:20:y:2017:i:12:p:1289-1298