After successful completion of the course, students are able to...
Understand different sport-relevant sensors and measurement systems
extract sensor data and interpret it in a sport-specific way
Process data and identify advantages and disadvantages of specific filter systems
apply their knowledge in the area of architecture and system design
apply their knowledge in the area of requirements engineering
apply their knowledge of combining game aspects with sensor data (serious gaming)
creatively develop ideas for appropriate systems
research relevant scientific literature
In recent years, sports science systems using different sensors have only been carried out in isolation from the viewpoint of different domains (e.g., computer science, physiology, rehabilitation, etc.). However, a common cross-domain approach has not yet been sufficiently highlighted academically. This VU is intended to be the first innovation driver and foundation for exciting new ideas and projects in this setting that implements a common heterogeneous approach. To meet this aspiration, an introduction to sports technology will be given at the beginning with a focus on understanding, evaluating, and using data from different measurement systems, as well as user-optimized analysis, summarization and presentation. In addition to the teaching of appropriate cross-domain basics, exemplary systems will be developed and designed together. The course will focus on the individualized analysis, processing and visualization of various training data to optimize the relationship between subjective and objective workload of athletes. Different domains such as physiology, computer science, medicine, biomechanics, and training sciences are combined to develop well-founded and innovative strategies. Course participants will learn how to handle data from systems related to sport and exercise using current research.
Partial block holding with workshop dates. In addition to the introduction of necessary basics at the beginning, concrete practical examples will be presented and explained. Based on this, a project proposal consisting of problem definition, innovative solution concept based on state-of-the-art literature or systems (sensor definition; data basis; data processing method; data evaluation) and own ideas, as well as a presentation concept with example data and bibliography will be implemented. Iterative feedback by the course instructor as well as mutual peer review will be provided. At the end, the collected aspects, ideas, and the concept of the system are to be summarized in a written seminar paper.
If you have any questions, please send an email to seat@inso.tuwien.ac.at.
Effort for the student (ECTS-Breakdown):
---------------------------------------------------
Total: 75 hours (3 ECTS)