Driver Selected Seat Position Model

Philippart, Nancy L.; Roe, Ronald W.; Arnold, Albert J.; Kuechenmeister, Timothy J.

doi:10.4271/840508

Cited by 25 publications

(14 citation statements)

References 4 publications

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“…There are few published studies applicable to posture prediction for vehicle occupants. In many early studies, data are presented only in the aggregate or in terms of a population distribution, so the findings are not applicable to human-model posture (6)(7)(8). Seidl (5) presented the most complete approach to whole-body driving-posture prediction to date.…”

Section: Introductionmentioning

confidence: 99%

Automobile Occupant Posture Prediction for Use with Human Models

Reed

Manary

Flannagan

et al. 1999

SAE Technical Paper Series

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A new method of predicting automobile occupant posture is presented. The Cascade Prediction Model approach combines multiple independent predictions of key postural degrees of freedom with inverse kinematics guided by data-based heuristics. The new model, based on posture data collected in laboratory mockups and validated using data from actual vehicles, produces accurate posture predictions for a wide range of passenger car interior geometries. Inputs to the model include vehicle package dimensions, seat characteristics, and occupant anthropometry. The Cascade Prediction Model was developed to provide accurate posture prediction for use with any human CAD model, and is applicable to many vehicle design and safety assessment applications.1. Numbers in parentheses denote references at the end of the paper.

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Section: Introductionmentioning

confidence: 99%

Automobile Occupant Posture Prediction for Use with Human Models

Reed

Manary

Flannagan

et al. 1999

SAE Technical Paper Series

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“…Seat-position models have evolved over a period of more than ten years. Philippart et al (2) used regression equations to predict each of seven percentiles of the seat-position distribution for a 1:1 male-female U.S. driver population. Each percentile was predicted using a second-order function of seat height (H30), obtained from empirical percentile values calculated for each of the vehicles in their database.…”

Section: Introductionmentioning

confidence: 99%

An Improved Seating Accommodation Model with Application to Different User Populations

Flannagan¹,

Manary²,

Schneider³

et al. 1998

SAE Technical Paper Series

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“…(Philippart et al, 1984) Finally, an occupant width model describes the shoulder, elbow and hip widths for two and three adults sitting side by side in contact based on several definitions of accommodation.…”

Section: Model Descriptionsmentioning

confidence: 99%

Functional Anthropometry in Automotive Design

Philippart

Kuechenmeister

1984

Proceedings of the Human Factors Society Annual Meeting

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This paper describes the philosophy and development of several functional anthropometric tools currently used in automotive workspace design. These functional tools are statistical models which describe the probabilistic location of the driving population's body landmarks within vehicle space as a function of the vehicles' packaging parameters.Such tools provide a more realistic alternative to selection of the so called 'representative 5th percentile female and 95th percentile male' used in the past to qualify accommodation of a given vehicle workspace.They end the 'guestimation' procedure of trying to apply the structural dimensions of single individuals of certain stature percentiles to a complex workspace arrangement to define its accommodation. Although the tools described in this paper are specific to automotive workspace design, the philosophy and methodology for development of such functional models can have universal application.

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Driver Selected Seat Position Model

Cited by 25 publications

References 4 publications

Automobile Occupant Posture Prediction for Use with Human Models

Automobile Occupant Posture Prediction for Use with Human Models

An Improved Seating Accommodation Model with Application to Different User Populations

Functional Anthropometry in Automotive Design

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