The aim of this paper is to propose and evaluate the novel method of template generation,
matching, comparing and visualization applied to motion capture (kinematic) analysis. To …

The motivation of this paper is to examine the effectiveness of state-of-the-art and newly
proposed motion capture pattern recognition methods in the task of head gesture …

The paper describes a scalable, wearable multi-sensor system for motion capture based on
inertial measurement units (IMUs). Such a unit is composed of accelerometer, gyroscope …

In this paper, we describe the freely available repository, RepoIMU, proposed for the needs
of orientation estimation algorithm evaluation for inertial motion capture systems. Such …

The Kalman filter is a commonly used tool to eliminate measurement noise occurring in the
data most often taken from various sensors. The most common application is data filtration …

This paper proposes a method for improving human motion classification by applying
bagging and symmetry to Principal Component Analysis (PCA)-based features. In contrast to …

The need to measure human motion and to estimate its kinematic and dynamic parameters
in a real time appears in many fields such as medicine, sport, art and entertainment. This …

Determination of kinematic parameters of articulated rigid bodies is particularly important
when recreating the trajectory of movement of given systems: human (running, skiing) …