Activities play a key role in the way we structure our lives. The type of activity, how it is performed, and with whom, can reveal a person's intention, habit, fitness, state of mind, and social connectedness; This project aims at detecting a person's activities continuously over weeks and months, using a small and wrist-worn sensor unit. An Emmy Noether Project sponsored by the DFG.
Recognising passing trains by their vibration signatures, by means of a network of inertial sensor nodes with embedded detection capabilities. With support from Deutsche Bahn.
A platform for simplifying development and deployment of sensor network solutions and the integration of body sensor network monitoring. It handles a variety of sensors and sensor types and copes with the complexity of heterogeneous sensor constellations.
For many tasks, combining the knowledge of what objects were grasped with what gestures were made with them can improve recognition of said tasks considerably. In this project we intend to look deeper in the combination of two relatively cheap technologies that enable identifying objects and interactions with these objects.
Tobacco is the only legally available consumer product which kills people when entirely used as intended. This project is about quantifying one's personal smoking behaviour in an inconspicuous way. A smoker can gain insight into his smoking triggers, gain more insights about his addiction and get personalized smoking cessation material.
Past research projects at Lancaster University (UK) and the TU Darmstadt (Germany)