Chair posture detection with force platform

DOI

10.2991/icistis-19.2019.16How to use a DOI?

Keywords

chair posture detection, force platform, posture, weight measurement.

Abstract

The purpose of the article is to determine the possibility of diagnosing various sitting positions according to the dynamics of WMEAN. Materials and methods: 19 people (10 males and 9 females) aged from 16 to 50 years were examined. The Force platform MBN "Stabilo" was installed on a chair and 8 tests were carried out with various poses followed by the analysis of the dynamics of WMEAN (kg). Results: Spearman correlation results show high r values ​​(from 0.87 to 0.96, p≤0.05).According to the 2D Scatterplot, an almost linear dependence was revealed, regression equations were obtained for each pose. Conclusion: the possibility of creating an equipment for tracking the time of the “right / wrong” position using the WMEAN tracking algorithm is shown.

Copyright

© 2019, 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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TY  - CONF
AU  - Vitaliy Epishev
AU  - Dmitry Yakhin
AU  - Maria Gapicheva
PY  - 2019/11
DA  - 2019/11
TI  - Chair posture detection with force platform
BT  - Proceedings of the 4th International Conference on Innovations in Sports, Tourism and Instructional Science (ICISTIS 2019)
PB  - Atlantis Press
SP  - 56
EP  - 60
SN  - 2468-5739
UR  - https://doi.org/10.2991/icistis-19.2019.16
DO  - 10.2991/icistis-19.2019.16
ID  - Epishev2019/11
ER  -