A Foot-Arch Parameter Measurement System Using a RGB-D Camera
Autor: | Sejin Kong, Kyung-Ryoul Mun, Sungkuk Chun, Jinwook Kim |
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Rok vydání: | 2017 |
Předmět: |
Engineering
RGB-D camera Color 02 engineering and technology arch height lcsh:Chemical technology Biochemistry Bone and Bones Article Analytical Chemistry computer aided analysis 03 medical and health sciences 0302 clinical medicine Robustness (computer science) 0202 electrical engineering electronic engineering information engineering Humans lcsh:TP1-1185 Computer vision Electrical and Electronic Engineering Cluster analysis Instrumentation Simulation Markov random field business.industry Foot System of measurement Reproducibility of Results 030229 sport sciences Image segmentation Repeatability arch index foot-arch Atomic and Molecular Physics and Optics Footplate biomedical image processing arch width RGB color model 020201 artificial intelligence & image processing Artificial intelligence business |
Zdroj: | Sensors (Basel, Switzerland) Sensors, Vol 17, Iss 8, p 1796 (2017) Sensors; Volume 17; Issue 8; Pages: 1796 |
ISSN: | 1424-8220 |
Popis: | The conventional method of measuring foot-arch parameters is highly dependent on the measurer’s skill level, so accurate measurements are difficult to obtain. To solve this problem, we propose an autonomous geometric foot-arch analysis platform that is capable of capturing the sole of the foot and yields three foot-arch parameters: arch index (AI), arch width (AW) and arch height (AH). The proposed system captures 3D geometric and color data on the plantar surface of the foot in a static standing pose using a commercial RGB-D camera. It detects the region of the foot surface in contact with the footplate by applying the clustering and Markov random field (MRF)-based image segmentation methods. The system computes the foot-arch parameters by analyzing the 2/3D shape of the contact region. Validation experiments were carried out to assess the accuracy and repeatability of the system. The average errors for AI, AW, and AH estimation on 99 data collected from 11 subjects during 3 days were −0.17%, 0.95 mm, and 0.52 mm, respectively. Reliability and statistical analysis on the estimated foot-arch parameters, the robustness to the change of weights used in the MRF, the processing time were also performed to show the feasibility of the system. |
Databáze: | OpenAIRE |
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