Electrodermal Activity (EDA)

Exploring Conventional, Automated and Deep Machine Learning for Electrodermal Activity-Based Drivers’ Stress Recognition

Machine learning models, including AutoML and deep learning, effectively classify drivers' stress states based on EDA data in simulated driving scenarios.

Jan 6, 2022

Feinfühlige Technik: Wie Neuroergonomie und Brain-Computer-Interfaces in der Praxis eingesetzt werden können

Neuroergonomische Methoden zeigen Potenziale für menschgerechte Technikgestaltung und fördern Akzeptanz sowie Nutzerzentrierung in Designprozessen.

Mar 1, 2021

Combining eye tracking and physiology for detection of emotion and workload

Combining eye tracking with physiological measures like EEG and EDA can help detect cognitive workload and emotional processing in real-life scenarios.

Jan 18, 2021