AI-Based Modeling and Monitoring of Co-Evolution at Human-Technology Interfaces
AI-Based Modeling and Monitoring of Co-Evolution at Human-Technology Interfaces
Co-supervisor: Prof. Dr. Myra Spiliopoulou
Project work: M.Sc. Florian Fariszlocvich
A key objective of TACTIC is to create digital twins to describe the human and technical system as a cohesive process. This sub-project focuses on deriving models from sensor data in order to reliably predict the (re-)actions at the interface between the two systems and to identify optimal adaptation strategies. Using these models and integrated sensors, a digital representation of the interconnected process is developed. This model can be utilized to detect process deviations and anomalies, enabling proactive intervention planning.
Bariszlovich F, Zaidi SMH, Noack B, Spiliopoulou M
Embedded System for Breathing Motion Monitoring Using Inertial Measurement Units [Poster presentation]
2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) , Copenhagen, Denmark, 14 - 17 July 2025.
The full list of TACTIC publications can be found here
Prof. Noack's entry in Forschungsportal (LSA) is linked here