Techn. Fakultät Willkommen am Institut für Informatik FAU-Logo
Research Interests
Requirements analysis and hardware-software-co-design of next generation sensors for wearables
Wearables for sports and daily living
Graphical models

Simultaneous Activity Recognition and Gait Segmentation Using Graphical Models

Objective health data about subjects outside of the laboratory is important in order to analyse symptoms that cannot be reproduced in the laboratory. A simple daily life example would be how stride length changes with tiredness or stress. In order to investigate this we must be able to accurately segment a stride from daily living data in order to have an accurate measure of duration and distance. State-of-the-art methods use separate segmentation and classification approaches. This is inaccurate for segmentation of an isolated activity, especially one that is not repeated. This could be solved using a model that is based on the sequence of phases within activities. Such a model is a graphical model. Currently I am working with Conditional Random Fields and Heirarchical Hidden Markov Models on daily living data. I plan to expand this to include sports within daily living.