The operation of mobile manipulators in a collaborative environment needs to be adapted to
the characteristics and skills of human operators. Human activity recognition, utilizing …

Musculoskeletal simulations can be used to estimate biomechanical variables like muscle
forces and joint torques from non-invasive experimental data using inverse and forward …

Although inertial and magnetic wearable sensors are promising tools to develop novel
technologies for human motion capture, their diffusion is being limited by their fair accuracy …

This work devises an optimized machine learning approach for human arm pose estimation
from a single smart-watch. Our approach results in a distribution of possible wrist and elbow …

Inertial measurement units are widely used in different fields to estimate the attitude. Many
algorithms have been proposed to improve estimation performance. However, most of them …

Inertial Measurement Units (IMUs) are becoming more and more popular in human motion
tracking applications. Among the other advantages, wearability, portability, limited costs, and …

This article proposes a framework for human-pose estimation from the wearable sensors
that rely on a Lie group representation to model the geometry of the human movement …

Goal: Gait monitoring is useful for diagnosing movement disorders or assessing surgical
outcomes. This paper presents an algorithm for estimating pelvis, thigh, shank, and foot …

Tracking the kinematics of human movement usually requires the use of equipment that
constrains the user within a room (eg, optical motion capture systems), or requires the use of …

Full-body motion estimation of a human through wearable sensing technologies is
challenging in the absence of position sensors. This paper contributes to the development of …