Analysis of the human gait represents a fundamental area of investigation within the broader
domains of biomechanics, clinical research, and numerous other interdisciplinary fields. The …

This study aimed to compare the agreement between three-dimensional motion capture and
vertical ground reaction force (vGRF) in identifying the point of dumbbell (DB) release during …

The BioCV dataset is a unique combination of synchronised multi-camera video, marker
based optical motion capture, and force plate data, observing 15 healthy participants (7 …

ABSTRACT Background Two‐dimensional (2D) video is a common tool used during sports
training and competition to analyze movement. In these videos, biomechanists determine …

To date, there are several measurement methods for evaluating human kinematics based on
inertial sensors or vision systems. However, a comprehensive comparison has not been …

Background: With human pose estimation on the rise in the field of biomechanics, the need
for scientific investigation of those algorithms is becoming evident. The validity of several of …

Markerless motion capture has been made available by the development of pose estimation
algorithms that provide both an estimate of the location of body keypoints in two-dimensional …

We present a dataset comprising motion capture, inertial measurement unit data, and
sagittal-plane video data from walking at three different instructed speeds (slow …

This study evaluates the accuracy of single-camera markerless motion capture (SC-MoCap)
using Microsoft's Azure Kinect, enhanced with inverse kinematics (IK) via OpenSim, for …

Aim: Recently there have been an increase of companies using Computer Vison (CV) in
managing treatment of patients with hip and knee osteoarthritis (OA). With this in mind, the …