Smoothing orientation data is a fundamental task in different fields of research. Different
methods of smoothing time series in quaternion algebras have been described in the …

In this study, a new method of classification of skeleton-based motion data has been
introduced. In the first stage, we performed multiscale feature extraction of rotational data. It …

The costume for acquisition of motion is example on MOCAP system based on IMU sensors
using fusion of their measurements (like inertial, gyroscopic and magnetic measurements) …

We present the architecture of the Motion Data Editor (MDE) real-time development
framework for multi-modal motion data management, visualization and analysis. There is an …

The quaternion blobby model for constraining the joint range of motions based on real
captured data has been proposed. The boundary of the feasible region is modeled using a …

Presented is a general purpose, very efficient data processing platform Multimodal Data
Environment (MMDE), that includes a new framework for flexible data analysis and …

Motion analysis is rapidly developing area of research. Due to availability of cheaper
hardware with reasonable accuracy for motion acquisition in form of various motion …

The paper deals with the problem of motion data classification based on result of
multiresolution analysis implemented in form of quaternion lifting scheme. Scheme …

This thesis addresses several problems encountered in the field of statistical and machine
learning methods for data analysis in neurosciences. The thesis is divided into three parts …

Paper describes application of the Spline Quaternion Lifting Scheme (SQLS) to
multiresolution decomposition of human gait data coded in from of quaternion signal. The …