Fine motor control

Classification Characteristics of Fine Motor Experts Based on Electroencephalographic and Force Tracking Data

The application of machine learning techniques provides a data-driven approach for a deeper understanding of the development and expressions of expertise. In extension to the common procedure of comparing experts' and novices' performances in …

Classification of Visuomotor Tasks Based on Electroencephalographic Data Depends on Age-Related Differences in Brain Activity Patterns

Classification of physiological data provides a data driven approach to study central aspects of motor control, which changes with age. To implement such results in real-life applications for elderly it is important to identify age-specific …