Patterns of correlation between vehicle occupant seat pressure and anthropometry
Paul, Gunther, Daniell, Nathan, & Fraysse, Francois (2012) Patterns of correlation between vehicle occupant seat pressure and anthropometry. WORK, 41(S1), pp. 2226-2231.
Seat pressure is known as a major factor of seat comfort in vehicles. In passenger vehicles, there is lacking research into the seat comfort of rear seat occupants. As accurate seat pressure measurement requires significant effort, simulation of seat pressure is evolving as a preferred method. However, analytic methods are based on complex finite element modeling and therefore are time consuming and involve high investment. Based on accurate anthropometric measurements of 64 male subjects and outboard rear seat pressure measurements in three different passenger vehicles, this study investigates if a set of parameters derived from seat pressure mapping are sensitive enough to differentiate between different seats and whether they correlate with anthropometry in linear models. In addition to the pressure map analysis, H-Points were measured with a coordinate measurement system based on palpated body landmarks and the range of H-Point locations in the three seats is provided.
It was found that for the cushion, cushion contact area and cushion front area/force could be modeled by subject anthropometry,while only seatback contact area could be modeled based on anthropometry for all three vehicles. Major differences were found between the vehicles for other parameters.
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|Item Type:||Journal Article|
|Keywords:||Seat Comfort, Seat Posture, Pressure Mapping, Vehicle Package Design, Rear Occupant|
|Subjects:||Australian and New Zealand Standard Research Classification > MEDICAL AND HEALTH SCIENCES (110000)|
|Divisions:||Current > QUT Faculties and Divisions > Faculty of Health|
Current > Schools > School of Public Health & Social Work
|Copyright Owner:||Copyright 2012 IOS Press and the authors. All rights reserved|
|Deposited On:||07 Mar 2012 09:05|
|Last Modified:||21 Dec 2012 02:01|
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