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.

Conference contributions:

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.

Zaidi SMH, Klemm L, Noack B, Spiliopoulou M

Explainable Finger Kinematics Decoding with Temporal Graph Neural Networks (accepted)
Proceedings of the 39th IEEE International Symposium on Computer Based Medical Systems (CBMS2026), Limassol, Cyprus, June, 2026.

Bariszlovich F, Kader H, Noack B

Label Efficiency for Signal Quality Classification of Wearable Respiratory Inductance Plethysmography 
Proceedings of the 39th IEEE International Symposium on Computer Based Medical Systems (CBMS2026), Limassol, Cyprus, June, 2026.

The full list of TACTIC publications can be found  here

Prof. Noack's entry in Forschungsportal (LSA) is linked here