A Foot-Arch Parameter Measurement System Using a RGB-D Camera

Autor: Sejin Kong, Kyung-Ryoul Mun, Sungkuk Chun, Jinwook Kim
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
Externí odkaz: