Healthcare systems are under increasing strain due to a myriad of factors, from a steadily
ageing global population to the current COVID-19 pandemic. In a world where we have …

Background Wearable sensor technologies have the potential to improve monitoring in
people with multiple sclerosis (MS) and inform timely disease management decisions …

In recent years, there has been a growing interest in developing and evaluating gait analysis
algorithms based on inertial measurement unit (IMU) data, which has important implications …

Introduction: Accurately assessing people's gait, especially in real-world conditions and in
case of impaired mobility, is still a challenge due to intrinsic and extrinsic factors resulting in …

Instrumented footwear represents a promising technology for spatiotemporal gait analysis in
out-of-the-lab conditions. However, moderate accuracy impacts this technology's ability to …

Human activity recognition (HAR) has gained popularity in the field of computer vision such
as video surveillance, security, and virtual reality. However, traditional methods are limited in …

Objective physical function assessment is crucial for determining patient eligibility for
treatment and adjusting the treatment intensity. Existing assessments, such as performance …

The aim of this work was to determine whether wearable inertial measurement units (IMUs)
could detect gait improvements across different disability groups of people with Multiple …

Continuous gait monitoring may aid the early diagnosis of neurological and musculoskeletal
conditions and help validate the effectiveness of new treatments. However, consumer-grade …

In chronic disorders such as Parkinson's disease (PD), fear of falling (FOF) is associated
with falls and reduced quality of life. With inertial measurement units (IMUs) and dedicated …