Full-Body Locomotion Reconstruction of Virtual Characters Using a Single Inertial Measurement Unit.

ABSTRACT: This paper presents a method of reconstructing full-body locomotion sequences for virtual characters in real-time, using data from a single inertial measurement unit (IMU). This process can be characterized by its difficulty because of the need to reconstruct a high number of degrees of freedom (DOFs) from a very low number of DOFs. To solve such a complex problem, the presented method is divided into several steps. The user's full-body locomotion and the IMU's data are recorded simultaneously. Then, the data is preprocessed in such a way that would be handled more efficiently. By developing a hierarchical multivariate hidden Markov model with reactive interpolation functionality the system learns the structure of the motion sequences. Specifically, the phases of the locomotion sequence ar

SUBMITTER: Mousas C 

PROVIDER: S-EPMC5712795 | biostudies-literature | 2017 Nov

REPOSITORIES: biostudies-literature