Matching 3D plantar model with the force and pressure data of the loading phase of gait

Chong, Albert K. and Al-Baghdadi, Jasim Ahmed and Milburn, Peter (2015) Matching 3D plantar model with the force and pressure data of the loading phase of gait. In: 7th International Congress on Image and Signal Processing (CISP 2014), 14-16 Oct 2014, Dalian, China.

Abstract

The interest in the study of the human foot and gait loading to determine and manage the impairments associated with various musculoskeletal, integumentary, and neurological disorders has intensified considerably in recent years. This type of research is particularly important for finding the cause of diabetic foot ulceration. In this research, a dynamic plantar 3D model is captured by video cameras and photogrammetric technique while ground reaction force and pressure are captured by an AMTI force plate and Tekscan pressure system respectively. However, it is necessary to carry out research to develop a suitable method to match these three types of plantar data. Consequently, this paper provides a discussion on the method developed for matching the dynamic 3D model, the ground reaction force plate and the pressure data recorded during the loading phase of gait. The matching methods developed allowed precise matching between the computed 3D model and the pressure data. Results show the contact area obtained by the 3D model and the area obtained by the pressure mat has a correlation of r2 = 0.998. Besides, the correlation of the vertical force (Fz) of the force plate and MatScan was r2 = 0.997. The ability to match the plantar loading and the captured dynamic 3D surface model is a significant development in the study of human gait.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: © 2014 by IEEE. Permanent restricted access to published version due to publisher copyright policy.
Faculty / Department / School: Current - Faculty of Health, Engineering and Sciences - School of Civil Engineering and Surveying
Date Deposited: 06 Feb 2015 01:33
Last Modified: 15 Sep 2016 06:15
Uncontrolled Keywords: 3D model; ground reaction forceg; plantar pressure; styling; walking
Fields of Research : 09 Engineering > 0903 Biomedical Engineering > 090302 Biomechanical Engineering
09 Engineering > 0909 Geomatic Engineering > 090905 Photogrammetry and Remote Sensing
08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080106 Image Processing
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970109 Expanding Knowledge in Engineering
Identification Number or DOI: 10.1109/CISP.2014.7003869
URI: http://eprints.usq.edu.au/id/eprint/26702

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