By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.

Abstract: Wearable sensors are essential for tracking human activity, but analyzing their data requires robust classification methods. This study evaluates traditional machine learning models (Random ...

Abstract: In recent years, the rise of advanced machine learning techniques has led to an increase in research on brain-computer interfaces. It’s considered a multifaceted challenge to develop ...