Background Single camera markerless motion capture has the potential to facilitate at home
movement assessment due to the ease of setup, portability, and affordable cost of the …

Fall risk is high for older adults with dementia. Gait impairment contributes to increased fall
risk, and gait changes are common in people with dementia, although the reliable …

Background Many of the available gait monitoring technologies are expensive, require
specialized expertise, are time consuming to use, and are not widely available for clinical …

This paper presents a study to evaluate the concurrent validity of the Microsoft Kinect for
Windows v2 for measuring the spatiotemporal parameters of gait. Twenty healthy adults …

Alzheimer's disease (AD) is a progressive neurodegenerative disease affecting cognitive
and functional abilities. However, many patients presume lower cognitive or functional …

Introduction Alzheimer's disease and related disorders (ADRD) progressively impair
cognitive function, prompting the need for early detection to mitigate its impact. Mild …

This paper integrates an unobtrusive and affordable sensing technology with machine
learning methods to discriminate between healthy and pathological gait patterns as a result …

Robotic stroke rehabilitation therapy can greatly increase the efficiency of therapy delivery.
However, when left unsupervised, users often compensate for limitations in affected muscles …

Background Machine learning approaches for the classification of pathological gait based
on kinematic data, eg derived from inertial sensors, are commonly used in terms of a multi …

Stroke often leads to upper limb movement impairments. To accommodate new constraints,
movement patterns are sometimes altered by stroke survivors to use stronger or unaffected …