Inertial motion analysis is having a growing interest during the last decades due to its
advantages over classical optical systems. The technological solution based on inertial …

Abstract Background: Inertial measurement units (IMUs) are promising tools for collecting
human movement data. Model-based filtering approaches (eg Extended Kalman Filter) have …

Gait phase estimation is important technology in controlling the exoskeleton robot to assist
elderly walking. Several kinds of Gait estimation methods have been proposed, however …

This paper proposes a method to enable the use of non-intrusive, small, wearable, and
wireless sensors to estimate the pose of the lower body during gait and other periodic …

Introduction Inertial measurement units have been proposed for automated pose estimation
and exercise monitoring in clinical settings. However, many existing methods assume an …

This paper proposes a new algorithm for human motion estimation using inertial
measurement unit (IMU) measurements. We model the joints by matrix Lie groups, namely …

We propose a framework for the integration of data assimilation and machine learning
methods in human pose estimation, with the aim of enabling any pose estimation method to …

Accurate human pose estimation is of vital importance for a variety of human-robot
interaction applications, including cooperative task execution, imitation learning and robot …

Inertial measurement unit sensors are commonly used for human pose estimation. However,
a systematic and robust method to incorporate position and orientation constraints in the …

Human motion analysis is of crucial importance in countless applications such as human-
robot interaction or during the design of assistive devices. Human motion should be …