Empatho-Kinaesthetic Sensor Technology (EmpkinS)
The CRC 1483 “Empatho-Kinaesthetic Sensor Technology” (EmpkinS) investigates novel radar, wireless, depth camera, and photonics-based sensor technologies as well as body function models and algorithms. The primary objective of EmpkinS is to capture human motion parameters remotely with wave-based sensors to enable the identification and analysis of physiological and behavioural states and body functions. To this end, EmpkinS aims to develop sensor technologies and facilitate the collection of motion data for the human body. Based on this data of hitherto unknown quantity and quality, EmpkinS will lead to unprecedented new insights regarding biomechanical, medical, and psychophysiological body function models and mechanisms of action as well as their interdependencies.
The MaD Lab contributes to EmpkinS within several part projects listed below.
Research areas: Machine Learning, Wearables, Experimental Studies, Signal Processing, Musculoskeletal Modeling, Optimal Control
Group Heads
Group Members
Current Students
- Annika Wünsch
Explaining influential differences in human gait datasets on machine learning tasks - Philipp Dörfler
Comparison of Algorithms for Respiratory Information Extraction from Wearable Sensors - Sebastian Stühler
Investigation of the Pre-Ejection Period as a Marker for Sympathetic Activity during Acute Psychosocial Stress - Ulla Sternemann
Extraction of Pre-Ejection Period as Marker for Acute Psychosocial Stress from Wearable Sensors and Interferometry Radar
