Welcome to ANDY

ANDY is a research team focusing on state-of-the-art systems and analysis models for biomechanics:

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

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

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

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

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