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In an effort to create computer models to promote rapid, cost-effective prototyping while easing design changes, more information about how people interact with seats is needed. Predicting the occupant location, their geometry, and motion within a vehicle leads to a better determination of safety restraint location, controls reach, and visibility - factors that affect the overall operation of the vehicle. Based on the Michigan State University JOHN model, which provides a biomechanical simulation of the torso posture, experiments were conducted to examine the change of postures due to seat and interior package factors. The results can be incorporated into the posture prediction model of the RAMSIS program to give a more detailed prognosis of the spine curvature and refine the model-seat interactions. This paper will address findings of the experimental study with relation to model development.

Since the 1960's, automotive seats have been designed and evaluated with tools and procedures described in the SAE Recommended Practice J826. The SAE J826 design template and testing manikin each have a torso with a flat lower back shape and with a single joint at the H-point. The JOHN models provide a more anatomically detailed representation of human shape and movement. The articulations of the JOHN torso (pelvic, lumbar, and thoracic) segments are coupled so that their relative positions are determined by a single parameter related to spinal curvature. This paper describes the development and use of the JOHN biomechanical models for seating design.

Comfort in automotive seating is greatly influenced by posture. Back contours that reflect the actual postures of seated people have been developed by researchers at Michigan State University (MSU). This new data on seating postures has been interpreted to aid the development of automobile seat backs, enhancing the comfort of the seats. However, applying new contours to seats with current frame and structure designs creates problems of accurately and repeatably determining H-point compliance with the SAE 3D H-point machine. Consequently, a new seat back has been designed that accomplishes both improved comfort without sacrificing the accurate measurement of H-point.

Seat factors are characteristics of seats that influence people's postures. Seat factors such as lumbar prominence and seat pan stiffnesses were defined and measured for a variety of automotive seats. Seat factors such as these serve as a basis for evaluating and comparing seats. They were useful for selecting seats and designing experiments for human subject testing in the ASPECT program. Seat factors are also candidates for independent variables in statistical posture prediction models. The Seat factors described in this paper were measured with the current J826 manikin. They will be redefined for use with the new ASPECT manikin.