Journal of Physical Therapy Science
Online ISSN : 2187-5626
Print ISSN : 0915-5287
Original Article
Development of a statistical model for predicting seat pressure felt level in simulated condition based on direct and anthropometric measurement
Nor Kamaliana KhamisBaba Md Deros
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Volume 30 (2018) Issue 6 Pages 764-769

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Abstract

[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 R2 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.

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© 2018 by the Society of Physical Therapy Science. Published by IPEC Inc.
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