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 …

Advances in machine learning and contactless sensors have given rise to ambient
intelligence—physical spaces that are sensitive and responsive to the presence of humans …

Disease identification and classification relies on Feature Selection (FS) to find the relevant
features for accurate medical diagnosis. FS is an optimization problem solved with the help …

The computer vision community has extensively researched the area of human motion
analysis, which primarily focuses on pose estimation, activity recognition, pose or gesture …

In this paper, different types of classification methods are compared for effective diagnosis of
Parkinson's diseases. The reliable diagnosis of Parkinson's disease is notoriously difficult to …

Parkinson's disease (PD) is a brain disorder that primarily affects motor function, leading to
slow movement, tremor, and stiffness, as well as postural instability and difficulty with …

Parkinson's disease (PD) is a devastating neurological disease that cannot be identified with
traditional plasma experiments, necessitating the development of a faster, less expensive …

When diagnosing Parkinson's disease (PD), medical specialists normally assess several
clinical manifestations of the PD patient and rate a severity level according to established …

Parkinson's disease (PD) is a complex neurodegenerative disease. Accurate diagnosis of
this disease in the early stages is crucial for its initial treatment. This paper aims to present a …

Monitorization of gait‐related parameters is of the utmost importance to prevent
complications in several diseases, ensuring affordable healthcare for the growing amount of …