The human gait is a complex phenomenon, which is unique for every person and everyone’s own gait has its unique features. Although the human gait is unique there is a common pattern in every gait to be found.
This common pattern can be observed.
To achieve this observation there is a need for a generalisation and for a modelling of the human body.
From this common generalisation some models of the human body are generated. There are many models of the human body depending on the origin of the input data. The input data can be generated from in vivo measurements or cadaver studies.
Based on these studies, observations and models a modelled human body can be built in a virtual space. There are many programmes to build anything in a virtual space. Such a virtual space is the VirCA, developed the Hungarian Academy of Sciences Institute for Computer Science and Control (MTA Sztaki). The VirCA creates a virtual space, in it the objects can be modified. Moreover the laws of Physics are applied to these objects.
The aim of this work is to learn the human gait. Moreover to learn the fundaments of the current methods of motion capture. Based on these facts the aim is to model a human gait and to implement this model into a virtual space.
The further aim is to model the injuries occurring in the lower body and study the effects of these injuries.