Background Markerless motion capture (MMC) technology has been developed to avoid the
need for body marker placement during motion tracking and analysis of human movement …

Technological advancements facilitate feedback adaptation in rehabilitation through virtual
reality (VR) exergaming, serious gaming, wearables, and telerehabilitation for older adults …

This paper tackles the challenge of automatically assessing physical rehabilitation exercises
for patients who perform the exercises without clinician supervision. The objective is to …

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

The utilization of Artificial Intelligence (AI) for assessing motor performance in Parkinson's
Disease (PD) offers substantial potential, particularly if the results can be integrated into …

Introduction Although clinician-based assessment through standardized clinical rating
scales is currently the gold standard for quantifying motor impairment in Parkinson's disease …

Background Over the past decades, tremendous technological advances have emerged in
human motion analysis (HMA). Research question How has technology for analysing …

Markerless Human Pose Estimation (HPE) proved its potential to support decision making
and assessment in many fields of application. HPE is often preferred to traditional marker …

Abstract Background: Parkinson's Disease (PD) demands early diagnosis and frequent
assessment of symptoms. In particular, analysing hand movements is pivotal to understand …

Markerless pose estimation based on computer vision provides a simpler and cheaper
alternative to human motion capture, with great potential for clinical diagnosis and remote …