An approach to human motion analysis and modelling

This paper discusses human motion modelling using experimental motion data analysed by a statistical design of experiments (SDoE) approach. Analysis of variance (ANOVA) is performed for the determination of the impact factor of the anthropometric parameters influencing the motion path. Car accessibility motions of various subjects with different anthropometric characteristics have been collected and analysed. The goal of this work is the development of semi-empirical models that could be used for predicting a realistic accessibility motion, having as input human anthropometrics. Output data of the models are either motion trajectories or joint angles of critical body segments that can be further incorporated into human modelling software tools to drive digital human models during product ergonomic evaluation.Relevance to industryIn order to improve product quality and increase customers’ satisfaction, the automotive industry, aims at a more efficient and reliable human centred design of products and processes. The technologies of virtual reality and digital human simulation are often used for this purpose. Thus, the development of efficient methods and tools for realistic digital human motion performance is essential.