Human footprint classification using image parameters

Author

Kulkarni, Prachi S. ; Kulkarni, Vinayak B.

Author_Institution

Electron. Eng. Dept., MIT Acad. of Eng., Pune, India

fYear

2015

fDate

8-10 Jan. 2015

Firstpage

1

Lastpage

5

Abstract

Human foot plays vital role in our body movement. The peak pressure measurement of plantar surface of human foot is very important for diagnosis of diseases and in research field for biomedical engineers. Depending on footprint image parameters like A intercept, B intercept, Footprint Index(FPI) and Footprint Geometry Index(FGI), Human foot can be classified in Flat Foot, Normal Foot and High arch Foot. Hence using this result further diagnosis and treatment is possible for that individual patient gives in an efficient way. These results are helpful for gait analysis and in sports biomechanics.

Keywords

diseases; image classification; medical image processing; pressure measurement; A intercept; B intercept; FGI; FPI; body movement; disease diagnosis; flat foot; footprint geometry index; footprint image parameters; footprint index; gait analysis; high arch foot; human footprint classification; normal foot; plantar surface peak pressure measurement; sports biomechanics; Biomedical imaging; Diabetes; Foot; Geometry; Indexes; Legged locomotion; Pressure measurement; Biomedical Image processing; Foot Disorders; Human Foot; Human Footprint Parameters;

fLanguage

English

Publisher

ieee

Conference_Titel

Pervasive Computing (ICPC), 2015 International Conference on

Conference_Location

Pune

Type

conf

DOI

10.1109/PERVASIVE.2015.7087011

Filename

7087011