ANDY is a research team focusing on state-of-the-art systems and analysis models for
biomechanics:
Motion Analysis and Movement Evaluation
Biomechanical Systems
Sport Situation Assessment
Sports Games
Mission Statement
Developing new ways of analysing, modelling and visualising data of complex dynamic systems, related to human
motion.
Supervision Offer
We are offering supervision for all projects within our scope, including seminar, internship, bachelor thesis,
and master thesis projects. You are encouraged to either choose a project from our “current research topics
page” or propose an own idea.
Team
Head of INSO
Thomas Grechenig
Operative Head
Dominik Hoelbling
Core Team
Benedikt Mitter
Dea Cizmic
Fabian Guschlbauer
Current Research Topics
Improvement Prediction
Different Data sources, including personal data, pre/post diagnostic data and training-device data should be
used to predict the performance improvement of selected physiological system for a pre-defined training
intervention.
This project includes:
Interface dev.
Backend/Frontend dev.
Machine Learning (preferably in Python)
Data collection
Master Thesis or Dissertation
Motion Detection & Serious Gaming with IMU
Inertial Sensors (IMUs) should be used to detect and classify sport motion use the results in a gaming
environment.
Suggestions for the Gameplay should be made by the students.
This project includes:
App development
Sensor integration
Machine Learning (Motion Detection)
Game dev.
Bachelor Thesis or Master Thesis
Music-Boxing-Reha-Game for Parkinson Patients
In collaboration with the Medical University Vienna and the JAM University, a serious game,
incorporating a novel Smart Boxing Glove Technology (RDα) and the MIDI (Music Instrument Digital Interface)
should be developed.
This project includes:
App Development
RDα integration
MIDI indegration
Game dev.
Bachelor Thesis or Master Thesis
Motion Analysis Tool
Based on an existing project (analyzing the Double Side Kick Kickboxing technique) an extension should be
developed for other Combat Sports techniques.
The system should automatically extract performance characteristics based on 2D Videos.
This project includes:
Image analysis
Motion analysis
Statistical evaluations
Data collection
Bachelor Thesis or Master Thesis
Publications
Baranyi, R., Kaim, S., Aigner, C., Hoelbling, D., Grechenig, T. (2023). WristReha - Using Serious Game Tech
for a Low Cost Yet Efficient Wrist Rehabilitation Process, JCSG.
Duvelek, S., Hoelbling, D., Baranyi, R., Breiteneder, R., Pinter, K., Grechenig, T. (2023). 2Trax3: Raising
accessibility and everyday use of automatic motion analysis in (combat) sports via ML enhanced 2D to 3D
estimation algorithms. In Proceedings of the 11th International Conference on Sport Sciences Research and
Technology Support - icSPORTS.
Baranyi, R., Rast, L., Pinter, K., Hoelbling, D., Aigner C., and Grechenig T. (2023) FruitGrind: Analysis,
Design and Development of a Serious Game Supporting Knee Rehabilitation Using a Smartphone Attached to a
Balance Board " IEEE 10th International Conference on Serious Games and Applications for Health.
Hoelbling, D., Salmhofer, A., Gencoglu, C., Baranyi, R., Pinter, K., Özbay, S., Ulupinar, S., Ozkara, A., B.,
Grechenig, T. (2023). JudgED: Comparison between Kickboxing Referee Performance at a Novel Serious Game for
Judging Improvement and at World Championships. Applied Sciences, 13(16). https://doi.org/10.3390/app13179549
Galli, J., Baranyi, R., Hoelbling, D., Pinter, K., Aigner, C., Hörner, W., & Grechenig, T. (2023). Prevention
and Rehabilitation Gaming Support for Ankle Injuries Usable by Semi-Professional Athletes Using Commercial
Off-The-Shelf Sensors. Applied Sciences, 13(16), 9193. https://doi.org/10.3390/app13169193
Cizmic, D., Hoelbling, D., Baranyi, R., Breiteneder, R., & Grechenig, T. (2023). Smart Boxing Glove “RD α”:
IMU Combined with Force Sensor for Highly Accurate Technique and Target Recognition Using Machine Learning.
Applied Sciences, 13(16), 9073. MDPI AG. Retrieved from http://dx.doi.org/10.3390/app13169073
Rast, L., Baranyi, R., Pinter, K., Hölbling, D., Aigner, C., Grechenig T. (2023). Standard Mobile Phones Plus
a Balance Board Are Sufficient: Designing a Serious Game for Better Knee Rehabilitation. DHealth 2023.
Proceedings of Studies in Health Technology and Informatics: Volume 301: dHealth 2023. pages 18-19. DOI:
10.3233/SHTI230005
Hu, C. W., Nguyen, C. T., Hölbling, D., Pang, T. Y., Baca, A., & Dabnichki, P. (2023). A novel 3D printed
personalised insole for improvement of flat foot arch compression and recoil–preliminary study. Proceedings of
the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications, 237(2),
329-342. https://doi.org/10.1177/14644207221112362
Salmhofer, A., Gutica-Florescu, L., Hoelbling, D., Breiteneder, R., Baranyi, R., and Grechenig, T. (2022).
Development of a Serious Game to Improve Decision-making Skills of Martial Arts Referees. In Proceedings of
the 10th International Conference on Sport Sciences Research and Technology Support - icSPORTS; pages 29-40.
DOI: 10.5220/0011382800003321
Hoelbling, D., Grafinger, M., Smiech, M., M., Cizmic, D., Baca, A., & Dabnichki, P. (2021). Acute Response on
general and sport specific Hip Joint Flexibility to Training with Novel Sport Device. Sports Biomechanics.
doi:10.1080/14763141.2021.1922742
Hoelbling, D., Smiech, M. M., Cizmic, D., Baca, A., & Dabnichki, P. (2021). Exploration of martial arts kick
initiation actions and telegraphs. International Journal of Performance Analysis in Sport, 21(4), 507-518.
https://doi.org/10.1080/24748668.2021.1920314