@article{MAKHILLJEAS2020151019289,
    title = {Remote Diagnosis of the Footprint Using a Portable-Podoscope System},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {15},
    number = {10},
    pages = {2242-2249},
    year = {2020},
    issn = {1816-949x},
    doi = {jeasci.2020.2242.2249},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2020.2242.2249},
    author = {N.,T.,P.,C.,B. and},
    keywords = {Plantar footprint,Hernandez corvo index,MATLAB,cavus foot,normal foot,flat foot,portable podoscope},
    abstract = {In the literatures, some podoscope systems
have been introduced to analyze the plantar footprint.
However, there is an absence of a low complexity
portable system with control capacity and trace ability of
users and their results through a web application.
Therefore, the objective of this study is to develop of a
portable system that allows the automation of the process;
reducing the errors of human character and the times of
accomplishment. The development methodology of the
research is a cascade type that begins as an initial phase in
analyzing of the requirements and restrictions of the
system. Then the physical and circuit design of the
platform are carried out. Once the first two stages of the
methodology are complete, the algorithms of the portable
system based on Android studio and the web application
are developed under the Laravel framework. Finally, the
performance of the proposed system and the analysis of
the results will be presented. In this study, the footprint of
35 users and a total of 70 samples will be analyzed. The
results show 74% accuracy compared to the manual
method.}
    }