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 …

Parkinson's disease (PD) is a neurodegenerative disorder characterized by motor
impairments such as tremor, bradykinesia, dyskinesia, and gait abnormalities. Current …

Automated classification of seed varieties is of paramount importance for seed producers to
maintain the purity of a variety and crop yield. Traditional approaches based on computer …

Assessing the progression of movement disorders such as Parkinson's Disease (PD) is key
in adjusting therapeutic interventions. However, current methods are still based on …

Parkinson's disease (PD) is a degenerative, neurological disease that causes motor
dysfunctions on the patient. Currently, the symptoms and progression of the disease are …

Parkinson's disease affects millions worldwide with a large rise in expected burden over the
coming decades. More easily accessible tools and techniques to diagnose and monitor …

Existing approaches that assess and monitor the severity of Parkinson's Disease (PD) focus
on the integration of wearable devices based on inertial sensors (accelerometers …

In this paper, a new control-centric approach is introduced to model the characteristics of flex
sensors on a goniometric glove, which is designed to capture the user hand gesture that can …

Parkinson's disease is neurological degenerative disorder cause by deficient dopamine
production which in turn harms the motor functionality and speech. With latest IoT …

Researchers can examine numerous ailments and forecast improved treatments using a
huge number of medical databases. The Michael Fox PPMI data sets provide a baseline …