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This paper proposes a method for analyzing the ingress motions for different driver's seats. Because of the multiplicity of possible ingress strategies, a unique motion calculated by minimization of energy consumption is not sufficient for understanding the variety of motions. In addition, during ingress the human body is supported by the hand placed on the steering wheel, the legs move without collision with the side sill, and the head avoids the roof rail. Consequently, difficulty is expected in constructing a computational dynamics model for this complex motion that is sufficiently precise to predict human behavior. In order to understand ingress behavior without a detailed physical model of human motion, we utilize a motion distribution map based on the degree of similarity between motions.

In order to create digital models representing the variation in hands of adult Japanese, 82 measurements were taken for 103 subjects using traditional methods. Factor analysis of the measurements was performed, and the first 2 factors were used to calculate measurements for 9 members of the boundary family. A 3D digital model was created for each family member by deforming a generic model by minimizing the total difference of 40 measurements between the generic model and the target hand model. The generic model with 36 degrees of freedom was created from medical images of a subject captured in 4 different posture.