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
[I] = Implementation Task (for Computer Science “Master Project” or Medical Engineering “Research Internship” (Forschungspraktikum))
|1701||M||Program firmware for wearable hardware prototype.||Wearable Computing||Markus Zrenner, M. Sc.|
|1702||M||Energy consumption optimization in ULP devices. Evaluation of impact factors.||Wearable Computing||Markus Zrenner, M. Sc.|
|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||Gait parameter extraction from smart shoe data for patients with spastic gait, as well as machine learning towards relevant parameters to distuinguish spastic gait||Pathological Gait Analysis||Christine Martindale, M. Sc.|
|1709||M||Using a database of over 90 people, compare and analyse the limits of activity recognition algorithms||Activity Recognition, Wearable Computing||Christine Martindale, M. Sc.|
|1712||M||Deep Learning for Human Motion Analysis using Synthesized Data||Machine Learning, Biomechanics||Eva Dorschky, M. Sc.|
|1713||B||Formation Detection from Handball Tracking Data (available from March ’18)||Machine Learning, Sports||Mathias Maurer, M. Sc.
Dipl.-Ing. Nicolas Witt
|1715||B/M||Performance Analysis and Game Characterization of Table Tennis Players using Inertial Sensors||Wearable Computing||Dipl.-Ing. Peter Blank|
|1717||M||Implementation and testing of unsupervised learning methods for combined gait analysis and activity recognition||Machine Learning, Gait Analysis, Activity Recognition||Christine Martindale, M. Sc.|
|1718||B/M||Embedded Classification In Long-Term Gait Monitoring||Wearable Computing, Firmware||Nils Roth, M. Sc.|
|1719||M||Analysis of GPS tracks for athlete characterization||Machine Learning, Sports||Mathias Maurer, 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|
|1723||B/M||Recognition of basic letterforms during handwriting with Deep Learning (in cooperation with Stabilo GmbH)||Machine Learning||TBD,
Dr.-Ing. Jens Barth (Stabilo GmbH)
|1801||B||Embedded Heart Rate Variability Analysis for the Assessment of Parkinson’s Disease||Wearable Computing||Robert Richer, M. Sc.|
|1802||B||Continuous Blood Pressure Measurement for Real-Time Vertigo Assessment using Pulse Transit Time||Wearable Computing||Robert Richer, M. Sc.|
|1803||I (FP)||Implementation of Physical Exercise Mode for DailyHeart||Wearable Computing||Robert Richer, M. Sc.|
|1804||M||Speech and Textual Analysis of Group Work Tasks for Evaluation of Teamwork Performance
(in cooperation with Pattern Recognition Lab, Chair of Economic Theory and Chair of Health Psychology)
|HCI||Robert Richer, M. Sc.,
Florian Auferoth, M. Sc.
Open student positions
|J1701||Student helping with the exercises in our courses.||Lectures/Exercises||Stefan Gradl, M. Sc.|
|J1704||Preparation of a tutorial for applied machine learning in mechanical engineering (including python programming, preparation of exercises and slides)||Scientific Work / Exercises / Lectures||Matthias Ring, M. Sc.|
|J1705||Internship at Audi (Ingolstadt) – Machine Learning for Road Load data||Internship||Dipl.-Phys. Heike Leutheuser|