Gait symmetry is important in measuring gait pattern alterations for establishing the level of
functional limitation due to pathology, observing its changes over time and evaluating …

Human movement researchers are often restricted to laboratory environments and data
capture techniques that are time and/or resource intensive. Markerless pose estimation …

Background. The purpose of this study is to review the current literature on knee joint
biomechanical gait data analysis for knee pathology classification. The review is prefaced by …

The aim of this study was to investigate the reliability and concurrent validity of a
commercially available Xsens MVN BIOMECH inertial-sensor-based motion capture system …

Wearable sensors may enable the assessment of movement in a real-world setting, but they
are not yet a standard practice in the analysis of movement due to the unknown accuracy …

This study presented a fully automated deep learning based markerless motion capture
workflow and evaluated its performance against marker-based motion capture during …

The human foot is a complex structure that plays an important role in our capacity for upright
locomotion. Comparisons of our feet with those of our closest extinct and extant relatives …

Measuring motion of the human foot presents a unique challenge due to the large number of
closely packed bones with congruent articulating surfaces. Optical motion capture (OMC) …

Background: Wearable magneto-inertial sensors are being increasingly used to obtain
human motion measurements out of the lab, although their performance in applications …

Abstract Background and Objective: Motion analysis is crucial for effective and timely
rehabilitative interventions on people with motor disorders. Conventional marker-based …