Title :
Human footprint classification using image parameters
Author :
Kulkarni, Prachi S. ; Kulkarni, Vinayak B.
Author_Institution :
Electron. Eng. Dept., MIT Acad. of Eng., Pune, India
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;
Conference_Titel :
Pervasive Computing (ICPC), 2015 International Conference on
Conference_Location :
Pune
DOI :
10.1109/PERVASIVE.2015.7087011