Statistical Models to Predict Seat Pressure in Automotive Seats

Paper #:
  • 2017-01-1390

Published:
  • 2017-03-28
Abstract:
Seat fit is characterized as the spatial relationship between the seat and the sitter’s anthropometric dimensions. Seat surface pressure distribution is one of the best available quantitative measures of the interaction between occupant and seat interface. The relationship between areas of contact or pressure and seat fit has not been well established. The objective of this study is to model seat pressure distribution as a function of the dimensions of the seat and the sitter’s body. A laboratory study was conducted using 12 production driver seats from passenger cars and light trucks. Thirty-eight men and women sat in each seat in a driving mockup. Seat surface pressure distribution was measured on the seatback and cushion. Standard anthropometric dimensions were recorded for each participant and standardized dimensions based on SAE J2732 were acquired for each test seat. Regression models were effective in predicting characteristics of pressure distribution from SAE J2732 dimensions and anthropometric variables. The resulting models may be useful to evaluate virtual fit simulations of the interaction between parametric seat finite element and body shape models.
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