Motion Distribution Map of Ingress to Driver's Seats

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 this paper we improve the method for generating the distribution map to be able to calculate the similarity between ingress motions to driver's seats, which include the changing constraints of contact conditions between the hand and the steering wheel. The motion distribution map is generated from 120 ingress motions by 6 subjects captured with an optical motion capture system and an adjustable mock-up of a seat.