Driver fatigue and drowsiness instigate road traffic accidents while driving throughout the
years. to reduce road traffic injuries and fatality cases, a real-time drowsiness detection …

This research addresses the pitfalls and strategies for machine learning with small data sets
in the context of sensor-based fatigue detection. It is shown that many existing studies in this …

Our main objective of this study is to create a fatigue detection model using real-time data by
using wearable sensors. The purpose of this research is to learn more about the way …

Diese Studie beleuchtet eine neuartige Anwendung von Machine Learning im Bereich der
Sportrehabilitation unter Einsatz des ExerCube-Systems. Sie erforscht die Integration von …

In the movement laboratory of the ZHAW Health Department, a large number of movement
data are collected in clinical studies. So far, these data have been analyzed using classical …