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.
"We are what we repeatly do."
(Aristotle, 384-322 BC)

Projects

ISWC11 Paper

  Recognizing Complex Activities

  based on Activity Spotting

ISWC11 PaperImproving Kinect's Depth  

ISWC11 Paper

  Indoor location sensing

  by inertial measurement

ISWC11 PaperAll publications  

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