Gait analysis has traditionally relied on laborious and lab-based methods. Data from
wearable sensors, such as Inertial Measurement Units (IMU), can be analyzed with machine …

Inertial measurement units (IMUs) can be used to monitor running biomechanics in real-
world settings, but IMUs are often used within a laboratory. The purpose of this scoping …

Background Walking patterns can provide important indications of a person's health status
and be beneficial in the early diagnosis of individuals with a potential walking disorder. For …

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 …

After decades of evolution, measuring instruments for quantitative gait analysis have
become an important clinical tool for assessing pathologies manifested by gait …

Background Quantitative gait analysis is essential for evaluating walking and running
patterns for markers of pathology, injury, or other gait characteristics. It is expected that the …

Research suggests wearables and not instrumented walkways are better suited to quantify
gait outcomes in clinic and free-living environments, providing a more comprehensive …

The current gold standard for gait analysis involves performing the gait experiments in a
laboratory environment with a constrained space. However, there is growing interest in …

We performed an electronic database search of published works from 2012 to mid-2021 that
focus on human gait studies and apply machine learning techniques. We identified six key …

Gait impairments are present across a broad range of conditions and often have a significant
impact on the functional mobility and quality of life of an individual. Clinicians and …