Dr. Arnd Meiser

Project KARAT

Arnd Meiser is a member of the KARAT project team.

KARAT stands for the project "Artificial Intelligence for Healthy Work in Driving Professions: Workload and Safety in Traffic and Transportation (KARAT)" which implements an employee-oriented AI application to support driving professions in Germany. By using both individual data, physiological reactions and driving data as well as publicly available data (e.g. weather data, major events, traffic situations), an analysis on workload based on machine learning is developed.

Publications

All Publications in the project KARAT by Mr. Arnd Meiser can be found here. 

Further publications are: 

• Kasten, F. H., Duecker, K., Maack, M. C., Meiser, A., & Herrmann, C. S. (2019). Integrating electric field modeling and neuroimaging to explain inter-individual variability of tACS effects. Nature communications, 10(1), 1-11. https://doi.org/10.1038/s41467-019-13417-6
   
• Meiser, A., Tadel, F., Debener, S., & Bleichner, M. G. (2020). The Sensitivity of Ear-EEG: Evaluating the Source-Sensor Relationship Using Forward Modeling. Brain Topography, 1-12. https://doi.org/10.1007/s10548-020-00793-2
   
• Meiser, A., & Bleichner, M. G. (2022). Ear-EEG compares well to cap-EEG in recording auditory ERPs: a quantification of signal loss. Journal of Neural Engineering. https://doi.org/10.1088/1741-2552/ac5fcb