Thesis/Project Openings

Open Bachelor’s Theses

We are developing a learning game based on the Microsoft Kinect camera. Students use the Kinect to browse volumetric data and mark region of interests.

Tasks include:

  • Reimplement the OrganChallenge framework in .NET
  • Implement additional games
  • Evaluate usability and learning effectiveness


KONTAKT
Stephan Jonas
sjonas@mi.rwth-aachen.de

The IMCAR at the Uniklinik RWTH Aachen is developing a novel microscopy modality for imaging muscle traction. In this thesis, the muscle traction captured on the microscopy images should be analyzed and quantified in a meaningful way (i.e., flow charts, etc).


KONTAKT
Stephan Jonas
sjonas@mi.rwth-aachen.de

Open Master’s Theses

Open Student Projects

In this work, a mobile EEG headset (EMOTIV Epoc+) will be used to differentiate between positive and negative emotions in real-time. Based on existing recording applications, a real-time analysis extension will be developed that processes the EEG data in real-time and detects whether emotions are positive or negative using audio stimuli.


KONTAKT
Stephan Jonas
sjonas@mi.rwth-aachen.de

Hospital bed occupancy forecasting is essential for the hospital management. Our group has developed an effective forecasting algorithm, currently implemented in Matlab. The goal of this project is the development of a stand-alone application for use in hospital bed planning. The algorithm involves usage of recurrent neural networks, therefore basic knowledge of machine learning methods is desirable.


As a part of our research on the possibilities of mobile EEG devices in medical context, a mobile visual programming framework for signal processing was developed for Android. This project will focus on adding different signal processing packages, visualization, etc. to the developed framework. Interest in visual programming, brain research and signal processing are welcome.


Psychological disorders are very common; in Europe, more than one in three is affected. As with other psychiatric disorders, early detection of symptoms is also crucial in depression, to minimize personal, social and economic stress. The aim of Psychologist in a Pocket is to use the potential of mobile technology and novel physical sensors in the field of mental health in order to meet the challenge of timely and sensitive detection of the symptoms of depression, in particular when writing. While a lexicon for English and Tagalog already exists, you will collect initial data for a German depression lexicon, for example, using text-mining techniques.


KONTAKT
Stephan Jonas
sjonas@mi.rwth-aachen.de