Student Theses and Jobs
We always have open topics for Bachelor and Master Theses, Froschungspraktika, Hochschulpraktika and Master Projects and also open positions for student work (HiWi positions). You can find most of them listed in the tables below. If you do not find a suitable topic in there we would still like to encourage you to contact us and tell us about your ideas.
Please use the contact form below to apply for any of the listed topics, open positions or to propose your own topic. We will then get in contact with you, usually within two days.
Topic Information Meeting
We will have 3-4 meetings each year where we present all our currently available Bachelor’s and Master’s thesis topics to all interested students. If you plan to attend this meeting, please still submit the interest form below! If there are too few applications, the meeting might be cancelled and the topics presented individually. The next meeting is scheduled for TBD.
Open Research Topics
[B] = More suited for a Bachelor’s Thesis
[M] = More suited for a Master’s Thesis
[P] = More suited for a Project
[I] = Implementation Task (for Computer Science “Master Project” or Medical Engineering “Research Internship” (Forschungspraktikum))
|1703||M/B||Various topics in the area of: Virtual and Augmented Reality; (combined with) biomedical signal analysis and visualisation; virtually augmented sports and coaching||HCI||Stefan Gradl, M. Sc.,|
|1705||M||BlindAR – Augmenting touch screens for the visually impaired||HCI||Robert Richer, M. Sc.|
|1708||M/I||Develope a semi-supervised method to train a personalised gait analysis algorithm for spastic paraplegia patients. Also implement and test other algorithms for gait analysis e.g. deep learning||Pathological Gait Analysis, Semi-supervised Learning||Christine Martindale, M. Sc.|
|1709||M/I||Using a database of over 90 people, compare and analyse the limits of activity recognition algorithms. Compare and analyse semi-supervised and unsupervised approaches for training machine learning algorithms with this databse||Activity Recognition, Wearable Computing, Semi-supervised Learning||Christine Martindale, M. Sc.|
|1717||M/I||Implementation and testing of unsupervised learning methods for combined gait analysis and activity recognition||Machine Learning, Gait Analysis, Activity Recognition||Christine Martindale, M. Sc.|
|1720||B/M||Soccer Exercise Animation and Prototype Determination from Tracking Data and Detected Actions (with Fraunhofer IIS)||Sports; Machine Learning||Dipl.-Ing. Nicolas Witt|
|1724||M||Gait analysis in double and triple transgenic rat models||Data Analysis, (basic) Image Processing||Ivanna Timotius, M. Sc.|
|1803||I (FP)||Implementation of Physical Exercise Mode for DailyHeart||Wearable Computing||Robert Richer, M. Sc.|
|1805||B/M||Music analysis and recognition with methods of Machine Learning||Machine Learning||TBD, Gabriel Gomez (ext)|
|1806||B/M||Virtual or Augmented Reality workplace for cardiologists||HCI, Biosignal Analysis||Stefan Gradl, M. Sc.|
|1809||I/B||Analysis of Learned Key Point and Feature Descriptors for Object Detection in Sparse Euclidean 3D Pointclouds||Machine Learning||Franz Köferl, M. Sc.|
|1810||B||Detecting Locations of Programming Errors from Multiple Merged Logging Origins by Identifying unique Artifact Patterns||Machine Learning||Franz Köferl, M. Sc.|
|1811||M/I||Further develop a smart annotation tool and activity recogintion pipeline for quick, and easy labelling of massive datasets||Implementation, Activity Recognition, User Annotation||Christine Martindale, M. Sc.|
|1812||M/I/B||Analysis of intervention effect on sleep quality. Main work in the development of the Android App for this project||Sleep Analysis, Machine Learning||Christine Martindale, M. Sc.|
|1815||I (FP)||Node.js-based Sensor Library Framework for a Data Concentrator in Home Monitoring||Wearable Computing||Robert Richer, M. Sc.,
Nils Roth, M. Sc.
|1816||B/M||Evaluation of IMU Orientation and Angle Computation Algorithms Using a Gimbal Apparatus (in cooperation with adidas)||Wearable Computing, Signal Analysis||Martin Ullrich, M. Sc.,
Robert Richer, M. Sc.
|1817||I (FP)||Android Application for Semi-Automatic, Guided IMU Sensor Calibration||Wearable Computing||Robert Richer, M. Sc.,
Nils Roth, M. Sc.
|1818||B/M/I||Implementation and Evaluation of Actuator Feedback or Guidance for Urban Sports (Football, Running, Dancing)||Wearable Computing, HCI||Stefan Gradl, M. Sc.,
Markus Wirth, M. Sc.
|1820||M||ECG Clustering and Distance Methods for Applications in Cardiovascular Health Monitoring
(in cooperation with Computational Biophysics Group, MIT)
|Biosignal Analysis||Robert Richer, M. Sc.,
Martin Ullrich, M. Sc.,
Stefan Gradl, M. Sc.
|1822||P/M||Konzeption und Realisierung eines kamerabasierten Überwachungssystems zur automatischen Prozessanalyse und Optimierung unter Anwendung Maschinellen Lernens||Machine Learning||Philipp Dumbach, M. Sc.|
|1823||M/P||Implementation and Evaluation of a Perceptual-Cognitive Training Tool for Fotball Player in Virtual Reality||HCI||Markus Wirth, M. Sc., Stefan Gradl, M. Sc.|
|1824||B/P||Assessing Action Orientation of Athletes in a Gamified Virtual Environment||HCI||Markus Wirth, M. Sc., Stefan Gradl, M. Sc.|
|1825||M/P||Applying Congruent and Incongruent Cognitive-Tasks for Performance Improvement in Team Sports (VR)||HCI||Markus Wirth, M. Sc., Stefan Gradl, M. Sc.|
|1826||M/P||Segmenting Instances in Sparse Euclidean 3D Pointclouds using Deep Region Propsals and Instance Learning||Machine Learning||Franz Köferl, M. Sc.|
|Implementation of a Lidar Measurement Framework for Simulated and Real Data Processing||Machine Learning||Franz Köferl, M. Sc.|
|1828||B/M||Training and Feedback Platform for Professional Swim Training||Biosignal Analysis, HCI||Stefan Gradl, M. Sc.,|
|1829||B/M/I/P||Stress and Biofeedback Relaxation in Virtual Reality||Biosignal Analysis, HCI||Stefan Gradl, M. Sc., Robert Richer, M. Sc., Markus Wirth, M. Sc.|
|1830||B/M/P/I||Visualization of Biomechanical Parameters Using SCAPE||Biomechanical Models, Computer Graphics||Marlies Nitschke, M. Sc., Eva Dorschky, M. Sc., LGDV|
Open student positions
|Stefan Gradl, M. Sc.|
|J1702||Student helping to prepare the Machine Learning @ Operations industry seminar (includes preparation of slides, demos, exercises)||Lectures/Exercises||Dr.-Ing. Matthias Ring|