Automobile Occupant Posture Prediction for Use with Human Models

1999-01-0966

03/01/1999

Event
International Congress & Exposition
Authors Abstract
Content
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.
Meta TagsDetails
DOI
https://doi.org/10.4271/1999-01-0966
Pages
12
Citation
Reed, M., Manary, M., Flannagan, C., and Schneider, L., "Automobile Occupant Posture Prediction for Use with Human Models," SAE Technical Paper 1999-01-0966, 1999, https://doi.org/10.4271/1999-01-0966.
Additional Details
Publisher
Published
Mar 1, 1999
Product Code
1999-01-0966
Content Type
Technical Paper
Language
English