Measures of human movement dynamics can predict outcomes like injury risk or
musculoskeletal disease progression. However, these measures are rarely quantified in …

Kinematic analysis is indispensable to understanding and characterizing human locomotion.
Thanks to the development of inertial sensors based on microelectronics systems, human …

In biomechanics, joint kinetics has an important role in evaluating the mechanical load of the
joint and understanding its motor function. Although an optical motion capture (OMC) system …

Background The ability to measure joint kinematics in natural environments over long
durations using inertial measurement units (IMUs) could enable at-home monitoring and …

Gait analysis based on inertial sensors has become an effective method of quantifying
movement mechanics, such as joint kinematics and kinetics. Machine learning techniques …

Deep learning models developed to predict knee joint kinematics are usually trained on
inertial measurement unit (IMU) data from healthy people and only for the activity of walking …

Inertial measurement units (IMUs) are commonly used for localization or movement tracking
in pervasive healthcare-related studies, and gait analysis is one of the most often studied …

Abnormal running kinematics are associated with an increased incidence of lower extremity
injuries among runners. Accurate and unobtrusive running kinematic measurement plays an …

There is an increased interest in using wearable inertial measurement units (IMUs) in
clinical contexts for the diagnosis and rehabilitation of gait pathologies. Despite this interest …

Investigating the effects of load carriage on military soldiers using optical motion capture is
challenging. However, inertial measurement units (IMUs) provide a promising alternative …