Research

Human activity is considered to be one of the most important ingredients of context awareness and ubiquitous computing. During my PhD I focused mainly on the recognition complex activities based on wearable sensors. By spotting isolated gesture-alike events in a continuous data stream, probabilistic temporal models are used to compose such events into higher level activities such as daily routines, or multi-step construction tasks.
Besides my main research direction, several related projects evolved, which are listed on the publication page.
"We are what we repeatly do."
(Aristotle, 384-322 BC)

Projects
ISWC11 Paper

  Recognizing Complex Activities

  based on Activity Spotting

ISWC11 PaperDomain Adaptation  
ISWC11 Paper

  Indoor location sensing

  by inertial measurement

ISWC11 PaperAll publications  

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Teaching

Courses

  • Human Computer Systems SS 2010, TU-Darmstadt
  • Human Computer Systems SS 2009, TU-Darmstadt
  • Human Computer Systems SS 2008, TU-Darmstadt
  • Introduction to Computer Science I WS 2003-2004, TU-Darmstadt

Supervised students:

  • Matthias Plociennik. Longterm Motion Capturing. Bachelor thesis.
  • Robert Rehner. Inferring Location and Activities by using Spatial Constraints. Master thesis.
  • Patrick Frankenberger. Visualizing large Information Spaces. Diploma thesis.
  • Johannes Simon. Visualizing Spatio-Temporal Data for Urban Management.
    Bachelor thesis(ongoing).

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© 2009-2012 Ulf Blanke