Julia Stephanie Seiter
Julia Seiter is a PhD student at the Wearable Computing Lab. at ETH Zurich under the supervision of Prof. Gerhard Tröster. She studied Electrical Engineering and Information Technology at Karlsruhe Institute of Technology (KIT) in Germany. In 2008 she absolved an internship at Continental Automotive in Penang, Malaysia. She completed her studies in 2011 and conducted a master thesis on the topic 'GPS integration for a pedestrian navigation system in urban environment'. She is currently involved in the iCareNet project as a Marie Curie research fellow. Her research focuses on daily routine monitoring for health care applications.
The aging society introduces several difficulties into elderly care, one of them being the increasing number of elderly people to monitor on a regular basis. In the most cases a permanent observation by nurses and relatives is difficult. Therefore sensor technology for assisted living outside of clinics offers great possibilities from a healthcare point of view. Extensive research is available regarding specific health critical events, however, it might be feasible that tracking of daily routines allows reacting more robustly by detecting a changing trend in behavior.
Therefore the project aims towards an assisted living system detecting behavior patterns in daily live. Daily routines are composed of a number of activities and are complex to be recognized. The main focus of this project is to determine and validate the most suitable algorithms to assess these routines using hierarchical models.
- Pattern recognition
- Probabilistic topic models
- Daily monitoring
- Sensor fusion
- Signal processing
- Health care applications
