A study on visualisation of the human movement into the augmented reality environment

The integration of human motion analysis with augmented reality has gained significant attention in various fields of science, including biomechanics, medicine, and robotics. Most studies in the literature typically focus on stationary objects within an augmented reality environment. In this thesis, the aim is to create a skeletal structure of a human model in an augmented reality environment, allowing it to move, and then to mimic this movement in a real human. Initially, a human skeleton was constructed using a BVH mocap files. An animation generated from this file was then transferred into an augmented reality environment. The aim is to create a foundational environment for improving movement by overlapping the model generated by real human movements on top of this dynamic model to learn human movement and make inferences about how accurate it is