Proceedings of the 2015 International conference on Applied Science and Engineering Innovation

Application of least square curve fitting algorithm based on LabVIEW in pressure detection system

Authors
Wei Sun, Feng Zuo, Aihua Dong, Liya Zhou
Corresponding Author
Wei Sun
Available Online May 2015.
DOI
10.2991/asei-15.2015.9How to use a DOI?
Keywords
LabVIEW; Data Acquisition; Flexiforce; Least Square
Abstract

This paper introduces the constitution and working principle of a LabVIEW platform-based pressure detection system. Flexiforce transducer is engaged in the detection system for data acquisition of clothing pressure. Particularly, least square curve fitting algorithm principle and linear regression analysis technique are expounded in the system. Therefore, the proposed pressure detection system could analyze real-time data of pressure and conduct objective test dynamically. This scheme is not only suitable for the design of pressure detection system, but also has certain guiding significance for a wide range of sensor detection system design.

Copyright
© 2015, 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 2015 International conference on Applied Science and Engineering Innovation
Series
Advances in Engineering Research
Publication Date
May 2015
ISBN
978-94-62520-94-3
ISSN
2352-5401
DOI
10.2991/asei-15.2015.9How to use a DOI?
Copyright
© 2015, 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  - Wei Sun
AU  - Feng Zuo
AU  - Aihua Dong
AU  - Liya Zhou
PY  - 2015/05
DA  - 2015/05
TI  - Application of least square curve fitting algorithm based on LabVIEW in pressure detection system
BT  - Proceedings of the 2015 International conference on Applied Science and Engineering Innovation
PB  - Atlantis Press
SP  - 39
EP  - 43
SN  - 2352-5401
UR  - https://doi.org/10.2991/asei-15.2015.9
DO  - 10.2991/asei-15.2015.9
ID  - Sun2015/05
ER  -