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Development of a statistical model for predicting seat pressure felt level in simulated condition based on direct and anthropometric measurement
[Purpose] The purpose of this study was to investigate the effects of seat pressure distribution measurements based on a specific posture to predict the pressure felt level when seated. [Subjects and Methods] To examine the relationship between body pressure data and the driver’s perception, eleven...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Society of Physical Therapy Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6016302/ https://www.ncbi.nlm.nih.gov/pubmed/29950761 http://dx.doi.org/10.1589/jpts.30.764 |
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author | Khamis, Nor Kamaliana Deros, Baba Md |
author_facet | Khamis, Nor Kamaliana Deros, Baba Md |
author_sort | Khamis, Nor Kamaliana |
collection | PubMed |
description | [Purpose] The purpose of this study was to investigate the effects of seat pressure distribution measurements based on a specific posture to predict the pressure felt level when seated. [Subjects and Methods] To examine the relationship between body pressure data and the driver’s perception, eleven subjects were selected to participate in a simulated driving experiment using a pressure mat as a direct measurement method to measure the seat pan’s pressure distribution. The buttock-popliteal length was measured using an anthropometer, and the pressure felt ratings evaluated after the body pressure measurements were recorded. Accordingly, this was then followed by performing statistical analysis using seat pressure measurements, and the buttock-popliteal length as independent variables along with subjective ratings selected of the pressure felt by the drivers’ as dependent variables. [Results] The findings of this study suggest that the direct measurements and anthropometric body data are positively correlated with the predictive model thereby confirming the validity of the model with an R(2) value of 0.952. [Conclusion] The proposed model is expected to provide a useful reference value for new vehicle drivers by providing the pressure felt level based on direct and body measurements in a specific posture. |
format | Online Article Text |
id | pubmed-6016302 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | The Society of Physical Therapy Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-60163022018-06-27 Development of a statistical model for predicting seat pressure felt level in simulated condition based on direct and anthropometric measurement Khamis, Nor Kamaliana Deros, Baba Md J Phys Ther Sci Original Article [Purpose] The purpose of this study was to investigate the effects of seat pressure distribution measurements based on a specific posture to predict the pressure felt level when seated. [Subjects and Methods] To examine the relationship between body pressure data and the driver’s perception, eleven subjects were selected to participate in a simulated driving experiment using a pressure mat as a direct measurement method to measure the seat pan’s pressure distribution. The buttock-popliteal length was measured using an anthropometer, and the pressure felt ratings evaluated after the body pressure measurements were recorded. Accordingly, this was then followed by performing statistical analysis using seat pressure measurements, and the buttock-popliteal length as independent variables along with subjective ratings selected of the pressure felt by the drivers’ as dependent variables. [Results] The findings of this study suggest that the direct measurements and anthropometric body data are positively correlated with the predictive model thereby confirming the validity of the model with an R(2) value of 0.952. [Conclusion] The proposed model is expected to provide a useful reference value for new vehicle drivers by providing the pressure felt level based on direct and body measurements in a specific posture. The Society of Physical Therapy Science 2018-06-12 2018-06 /pmc/articles/PMC6016302/ /pubmed/29950761 http://dx.doi.org/10.1589/jpts.30.764 Text en 2018©by the Society of Physical Therapy Science. Published by IPEC Inc. This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial No Derivatives (by-nc-nd) License. (CC-BY-NC-ND 4.0: https://creativecommons.org/licenses/by-nc-nd/4.0/) |
spellingShingle | Original Article Khamis, Nor Kamaliana Deros, Baba Md Development of a statistical model for predicting seat pressure felt level in simulated condition based on direct and anthropometric measurement |
title | Development of a statistical model for predicting seat pressure felt level in
simulated condition based on direct and anthropometric measurement |
title_full | Development of a statistical model for predicting seat pressure felt level in
simulated condition based on direct and anthropometric measurement |
title_fullStr | Development of a statistical model for predicting seat pressure felt level in
simulated condition based on direct and anthropometric measurement |
title_full_unstemmed | Development of a statistical model for predicting seat pressure felt level in
simulated condition based on direct and anthropometric measurement |
title_short | Development of a statistical model for predicting seat pressure felt level in
simulated condition based on direct and anthropometric measurement |
title_sort | development of a statistical model for predicting seat pressure felt level in
simulated condition based on direct and anthropometric measurement |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6016302/ https://www.ncbi.nlm.nih.gov/pubmed/29950761 http://dx.doi.org/10.1589/jpts.30.764 |
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