Inertial measurement units (IMUs) have become the mainstay in human motion evaluation
outside of the laboratory; however, quantification of 3-dimensional upper limb motion using …

The sports industry is witnessing an increasing trend of utilizing multiple synchronized
sensors for player data collection, enabling personalized training systems with multi …

This study presents ErgoPulse, a system that integrates biomechanical simulation with
electrical muscle stimulation (EMS) to provide kinesthetic force feedback to the lower-body …

In virtual reality (VR) systems, a problem is the accurate reproduction of the user's body in a
virtual environment using inverse kinematics because existing motion capture systems have …

Inertial measurement units (IMUs) have proven to be valuable tools in measuring the range
of motion (RoM) of human upper limb joints. Although several studies have reported on the …

When patients perform musculoskeletal rehabilitation exercises, it is of great importance to
observe the correctness of their performance. The aim of this study is to increase the …

In sports science, the automation of performance analysis and assessment is urgently
required to increase the evaluation accuracy and decrease the performance analysis time of …

Human Pose Estimation (HPE) is a computer vision application that utilizes deep learning
techniques to precisely locate Key Joint Points (KJPs), enabling the accurate description of a …

Task-specific training has been shown to be an effective neuromotor rehabilitation
intervention, however, this repetitive approach is not always very engaging. Virtual reality …

In this study, we explored the application of Artificial Intelligence (AI) for posture detection in
the context of ergonomics in the agricultural field. Leveraging computer vision and machine …