Proceedings of the 2016 International Conference on Intelligent Control and Computer Application

Use Big Data to Investigate Plantar Pressure Distribution of the Chinese People

Authors
Jianhua Su
Corresponding Author
Jianhua Su
Available Online January 2016.
DOI
10.2991/icca-16.2016.67How to use a DOI?
Keywords
Foot pressurement, Gait, Measurement technology, Big data
Abstract

Large amounts of data of plantar pressure measurement being collected by device which placed in the museum, the purpose is to observe and analyze plantar pressure distribution if within the scope of the health value. About 36000 healthy visitors are invited as the subject of this project. Participants are asked to walk as usual on a Footscan plate which is product by Rsscan International. According to authoritative statistics on the height and weight of the Chinese citizens to set device parameters. Data are processed by EXCEL. The results of the experiment revealed that most of the participants of the plantar pressure distribution are not in the normal range.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 International Conference on Intelligent Control and Computer Application
Series
Advances in Computer Science Research
Publication Date
January 2016
ISBN
10.2991/icca-16.2016.67
ISSN
2352-538X
DOI
10.2991/icca-16.2016.67How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Jianhua Su
PY  - 2016/01
DA  - 2016/01
TI  - Use Big Data to Investigate Plantar Pressure Distribution of the Chinese People
BT  - Proceedings of the 2016 International Conference on Intelligent Control and Computer Application
PB  - Atlantis Press
SP  - 286
EP  - 288
SN  - 2352-538X
UR  - https://doi.org/10.2991/icca-16.2016.67
DO  - 10.2991/icca-16.2016.67
ID  - Su2016/01
ER  -